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BT 34.016 536.562 Td /F1 15.0 Tf [(Univariate And Multivariate General Linear Models )] TJ ET
BT 34.016 518.247 Td /F1 15.0 Tf [(Theory And Applications With Sas Second Edition )] TJ ET
BT 34.016 499.932 Td /F1 15.0 Tf [(Statistics A Series Of Textbooks And Monographs)] TJ ET
BT 34.016 471.393 Td /F1 7.5 Tf [(Right here, we have countless books )] TJ ET
BT 158.658 471.393 Td /F1 7.5 Tf [(Univariate And Multivariate General Linear Models Theory And )] TJ ET
BT 34.016 462.236 Td /F1 7.5 Tf [(Applications With Sas Second Edition Statistics A Series Of Textbooks And Monographs)] TJ ET
BT 327.476 462.236 Td /F1 7.5 Tf [( and collections )] TJ ET
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BT 34.016 443.921 Td /F1 7.5 Tf [(The up to standard book, fiction, history, novel, scientific research, as competently as various further )] TJ ET
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BT 34.016 416.606 Td /F1 7.5 Tf [(As this Univariate And Multivariate General Linear Models Theory And Applications With Sas Second )] TJ ET
BT 34.016 407.448 Td /F1 7.5 Tf [(Edition Statistics A Series Of Textbooks And Monographs, it ends stirring swine one of the favored book )] TJ ET
BT 34.016 398.291 Td /F1 7.5 Tf [(Univariate And Multivariate General Linear Models Theory And Applications With Sas Second Edition )] TJ ET
BT 34.016 389.133 Td /F1 7.5 Tf [(Statistics A Series Of Textbooks And Monographs collections that we have. This is why you remain in the )] TJ ET
BT 34.016 379.976 Td /F1 7.5 Tf [(best website to see the incredible books to have.)] TJ ET
BT 34.016 346.818 Td /F1 7.5 Tf [(Handbook of Univariate and Multivariate Data Analysis with IBM SPSS)] TJ ET
0.000 0.000 0.000 RG
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34.016 345.581 m 268.271 345.581 l S
BT 268.271 346.818 Td /F1 7.5 Tf [( Robert Ho 2013-10-25 Using the )] TJ ET
BT 34.016 337.661 Td /F1 7.5 Tf [(same accessible, hands-on approach as its best-selling predecessor, the Handbook of Univariate and )] TJ ET
BT 34.016 328.503 Td /F1 7.5 Tf [(Multivariate Data Analysis with IBM SPSS, Second Edition explains how to apply statistical tests to )] TJ ET
BT 34.016 319.346 Td /F1 7.5 Tf [(experimental findings, identify the assumptions underlying the tests, and interpret the findings. This )] TJ ET
BT 34.016 310.188 Td /F1 7.5 Tf [(second edition now covers more topics)] TJ ET
BT 34.016 301.031 Td /F1 7.5 Tf [(Univariate and Multivariate General Linear Models)] TJ ET
0.15 w 0 J [ ] 0 d
34.016 299.793 m 200.741 299.793 l S
BT 200.741 301.031 Td /F1 7.5 Tf [( Kevin Kim 2006-10-11 Reviewing the theory of the )] TJ ET
BT 34.016 291.873 Td /F1 7.5 Tf [(general linear model \(GLM\) using a general framework, Univariate and Multivariate General Linear )] TJ ET
BT 34.016 282.716 Td /F1 7.5 Tf [(Models: Theory and Applications with SAS, Second Edition presents analyses of simple and complex )] TJ ET
BT 34.016 273.558 Td /F1 7.5 Tf [(models, both univariate and multivariate, that employ data sets from a variety of disciplines, such as the )] TJ ET
BT 34.016 264.401 Td /F1 7.5 Tf [(social and behavioral sciences. With revised examples that include options available using SAS 9.0, this )] TJ ET
BT 34.016 255.243 Td /F1 7.5 Tf [(expanded edition divides theory from applications within each chapter. Following an overview of the )] TJ ET
BT 34.016 246.086 Td /F1 7.5 Tf [(GLM, the book introduces unrestricted GLMs to analyze multiple regression and ANOVA designs as well )] TJ ET
BT 34.016 236.928 Td /F1 7.5 Tf [(as restricted GLMs to study ANCOVA designs and repeated measurement designs. Extensions of these )] TJ ET
BT 34.016 227.771 Td /F1 7.5 Tf [(concepts include GLMs with heteroscedastic errors that encompass weighted least squares regression )] TJ ET
BT 34.016 218.613 Td /F1 7.5 Tf [(and categorical data analysis, and multivariate GLMs that cover multivariate regression analysis, )] TJ ET
BT 34.016 209.456 Td /F1 7.5 Tf [(MANOVA, MANCOVA, and repeated measurement data analyses. The book also analyzes double )] TJ ET
BT 34.016 200.298 Td /F1 7.5 Tf [(multivariate linear, growth curve, seeming unrelated regression \(SUR\), restricted GMANOVA, and )] TJ ET
BT 34.016 191.141 Td /F1 7.5 Tf [(hierarchical linear models. New to the Second Edition Two chapters on finite intersection tests and power )] TJ ET
BT 34.016 181.983 Td /F1 7.5 Tf [(analysis that illustrates the experimental GLMPOWER procedure Expanded theory of unrestricted )] TJ ET
BT 34.016 172.826 Td /F1 7.5 Tf [(general linear, multivariate general linear, SUR, and restricted GMANOVA models to comprise recent )] TJ ET
BT 34.016 163.668 Td /F1 7.5 Tf [(developments Expanded material on missing data to include multiple imputation and the EM algorithm )] TJ ET
BT 34.016 154.511 Td /F1 7.5 Tf [(Applications of MI, MIANALYZE, TRANSREG, and CALIS procedures A practical introduction to GLMs, )] TJ ET
BT 34.016 145.353 Td /F1 7.5 Tf [(Univariate and Multivariate General Linear Models demonstrates how to fully grasp the generality of )] TJ ET
BT 34.016 136.196 Td /F1 7.5 Tf [(GLMs by discussing them within a general framework.)] TJ ET
BT 34.016 127.038 Td /F1 7.5 Tf [(Advanced Linear Modeling)] TJ ET
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34.016 125.801 m 122.808 125.801 l S
BT 122.808 127.038 Td /F1 7.5 Tf [( Ronald Christensen 2019-12-20 This book introduces several topics related )] TJ ET
BT 34.016 117.881 Td /F1 7.5 Tf [(to linear model theory, including: multivariate linear models, discriminant analysis, principal components, )] TJ ET
BT 34.016 108.723 Td /F1 7.5 Tf [(factor analysis, time series in both the frequency and time domains, and spatial data analysis. This )] TJ ET
BT 34.016 99.566 Td /F1 7.5 Tf [(second edition adds new material on nonparametric regression, response surface maximization, and )] TJ ET
BT 34.016 90.408 Td /F1 7.5 Tf [(longitudinal models. The book provides a unified approach to these disparate subjects and serves as a )] TJ ET
BT 34.016 81.251 Td /F1 7.5 Tf [(self-contained companion volume to the author's Plane Answers to Complex Questions: The Theory of )] TJ ET
BT 34.016 72.093 Td /F1 7.5 Tf [(Linear Models. Ronald Christensen is Professor of Statistics at the University of New Mexico. He is well )] TJ ET
BT 34.016 62.936 Td /F1 7.5 Tf [(known for his work on the theory and application of linear models having linear structure.)] TJ ET
BT 34.016 53.778 Td /F1 7.5 Tf [(Multivariate Analysis for the Behavioral Sciences, Second Edition)] TJ ET
BT 250.353 53.778 Td /F1 7.5 Tf [( Kimmo Vehkalahti 2018-12-19 )] TJ ET
BT 34.016 44.621 Td /F1 7.5 Tf [(Multivariate Analysis for the Behavioral Sciences, Second Edition is designed to show how a variety of )] TJ ET
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BT 34.016 553.938 Td /F1 7.5 Tf [(statistical methods can be used to analyse data collected by psychologists and other behavioral )] TJ ET
BT 34.016 544.781 Td /F1 7.5 Tf [(scientists. Assuming some familiarity with introductory statistics, the book begins by briefly describing a )] TJ ET
BT 34.016 535.623 Td /F1 7.5 Tf [(variety of study designs used in the behavioral sciences, and the concept of models for data analysis. )] TJ ET
BT 34.016 526.466 Td /F1 7.5 Tf [(The contentious issues of p-values and confidence intervals are also discussed in the introductory )] TJ ET
BT 34.016 517.308 Td /F1 7.5 Tf [(chapter. After describing graphical methods, the book covers regression methods, including simple linear )] TJ ET
BT 34.016 508.151 Td /F1 7.5 Tf [(regression, multiple regression, locally weighted regression, generalized linear models, logistic )] TJ ET
BT 34.016 498.993 Td /F1 7.5 Tf [(regression, and survival analysis. There are further chapters covering longitudinal data and missing )] TJ ET
BT 34.016 489.836 Td /F1 7.5 Tf [(values, before the last seven chapters deal with multivariate analysis, including principal components )] TJ ET
BT 34.016 480.678 Td /F1 7.5 Tf [(analysis, factor analysis, multidimensional scaling, correspondence analysis, and cluster analysis. )] TJ ET
BT 34.016 471.521 Td /F1 7.5 Tf [(Features: Presents an accessible introduction to multivariate analysis for behavioral scientists Contains a )] TJ ET
BT 34.016 462.363 Td /F1 7.5 Tf [(large number of real data sets, including cognitive behavioral therapy, crime rates, and drug usage )] TJ ET
BT 34.016 453.206 Td /F1 7.5 Tf [(Includes nearly 100 exercises for course use or self-study Supplemented by a GitHub repository with all )] TJ ET
BT 34.016 444.048 Td /F1 7.5 Tf [(datasets and R code for the examples and exercises Theoretical details are separated from the main )] TJ ET
BT 34.016 434.891 Td /F1 7.5 Tf [(body of the text Suitable for anyone working in the behavioral sciences with a basic grasp of statistics)] TJ ET
BT 34.016 425.733 Td /F1 7.5 Tf [(Easy Statistics for Food Science with R)] TJ ET
0.15 w 0 J [ ] 0 d
34.016 424.496 m 164.478 424.496 l S
BT 164.478 425.733 Td /F1 7.5 Tf [( Abbas F. M. Alkarkhi 2018-09-18 Easy Statistics for Food )] TJ ET
BT 34.016 416.576 Td /F1 7.5 Tf [(Science with R presents the application of statistical techniques to assist students and researchers who )] TJ ET
BT 34.016 407.418 Td /F1 7.5 Tf [(work in food science and food engineering in choosing the appropriate statistical technique. The book )] TJ ET
BT 34.016 398.261 Td /F1 7.5 Tf [(focuses on the use of univariate and multivariate statistical methods in the field of food science. The )] TJ ET
BT 34.016 389.103 Td /F1 7.5 Tf [(techniques are presented in a simplified form without relying on complex mathematical proofs. This book )] TJ ET
BT 34.016 379.946 Td /F1 7.5 Tf [(was written to help researchers from different fields to analyze their data and make valid decisions. The )] TJ ET
BT 34.016 370.788 Td /F1 7.5 Tf [(development of modern statistical packages makes the analysis of data easier than before. The book )] TJ ET
BT 34.016 361.631 Td /F1 7.5 Tf [(focuses on the application of statistics and correct methods for the analysis and interpretation of data. R )] TJ ET
BT 34.016 352.473 Td /F1 7.5 Tf [(statistical software is used throughout the book to analyze the data. Contains numerous step-by-step )] TJ ET
BT 34.016 343.316 Td /F1 7.5 Tf [(tutorials help the reader to learn quickly Covers the theory and application of the statistical techniques )] TJ ET
BT 34.016 334.158 Td /F1 7.5 Tf [(Shows how to analyze data using R software Provides R scripts for all examples and figures)] TJ ET
BT 34.016 325.001 Td /F1 7.5 Tf [(Beyond Multiple Linear Regression)] TJ ET
BT 150.311 325.001 Td /F1 7.5 Tf [( Paul Roback 2021-01-14 Beyond Multiple Linear Regression: Applied )] TJ ET
BT 34.016 315.843 Td /F1 7.5 Tf [(Generalized Linear Models and Multilevel Models in R is designed for undergraduate students who have )] TJ ET
BT 34.016 306.686 Td /F1 7.5 Tf [(successfully completed a multiple linear regression course, helping them develop an expanded modeling )] TJ ET
BT 34.016 297.528 Td /F1 7.5 Tf [(toolkit that includes non-normal responses and correlated structure. Even though there is no )] TJ ET
BT 34.016 288.371 Td /F1 7.5 Tf [(mathematical prerequisite, the authors still introduce fairly sophisticated topics such as likelihood theory, )] TJ ET
BT 34.016 279.213 Td /F1 7.5 Tf [(zero-inflated Poisson, and parametric bootstrapping in an intuitive and applied manner. The case studies )] TJ ET
BT 34.016 270.056 Td /F1 7.5 Tf [(and exercises feature real data and real research questions; thus, most of the data in the textbook comes )] TJ ET
BT 34.016 260.898 Td /F1 7.5 Tf [(from collaborative research conducted by the authors and their students, or from student projects. Every )] TJ ET
BT 34.016 251.741 Td /F1 7.5 Tf [(chapter features a variety of conceptual exercises, guided exercises, and open-ended exercises using )] TJ ET
BT 34.016 242.583 Td /F1 7.5 Tf [(real data. After working through this material, students will develop an expanded toolkit and a greater )] TJ ET
BT 34.016 233.426 Td /F1 7.5 Tf [(appreciation for the wider world of data and statistical modeling. A solutions manual for all exercises is )] TJ ET
BT 34.016 224.268 Td /F1 7.5 Tf [(available to qualified instructors at the book’s website at www.routledge.com, and data sets and Rmd )] TJ ET
BT 34.016 215.111 Td /F1 7.5 Tf [(files for all case studies and exercises are available at the authors’ GitHub repo )] TJ ET
BT 34.016 205.953 Td /F1 7.5 Tf [(\(https://github.com/proback/BeyondMLR\))] TJ ET
BT 34.016 196.796 Td /F1 7.5 Tf [(Generalized Linear Models)] TJ ET
BT 123.633 196.796 Td /F1 7.5 Tf [( P. McCullagh 2018-10-31 The success of the first edition of Generalized )] TJ ET
BT 34.016 187.638 Td /F1 7.5 Tf [(Linear Models led to the updated Second Edition, which continues to provide a definitive unified, )] TJ ET
BT 34.016 178.481 Td /F1 7.5 Tf [(treatment of methods for the analysis of diverse types of data. Today, it remains popular for its clarity, )] TJ ET
BT 34.016 169.323 Td /F1 7.5 Tf [(richness of content and direct relevance to agricultural, biological, health, engineering, and ot)] TJ ET
BT 34.016 160.166 Td /F1 7.5 Tf [(Generalized Linear Models for Insurance Data)] TJ ET
BT 187.413 160.166 Td /F1 7.5 Tf [( Piet de Jong 2008-02-28 This is the only book actuaries )] TJ ET
BT 34.016 151.008 Td /F1 7.5 Tf [(need to understand generalized linear models \(GLMs\) for insurance applications. GLMs are used in the )] TJ ET
BT 34.016 141.851 Td /F1 7.5 Tf [(insurance industry to support critical decisions. Until now, no text has introduced GLMs in this context or )] TJ ET
BT 34.016 132.693 Td /F1 7.5 Tf [(addressed the problems specific to insurance data. Using insurance data sets, this practical, rigorous )] TJ ET
BT 34.016 123.536 Td /F1 7.5 Tf [(book treats GLMs, covers all standard exponential family distributions, extends the methodology to )] TJ ET
BT 34.016 114.378 Td /F1 7.5 Tf [(correlated data structures, and discusses recent developments which go beyond the GLM. The issues in )] TJ ET
BT 34.016 105.221 Td /F1 7.5 Tf [(the book are specific to insurance data, such as model selection in the presence of large data sets and )] TJ ET
BT 34.016 96.063 Td /F1 7.5 Tf [(the handling of varying exposure times. Exercises and data-based practicals help readers to consolidate )] TJ ET
BT 34.016 86.906 Td /F1 7.5 Tf [(their skills, with solutions and data sets given on the companion website. Although the book is package-)] TJ ET
BT 34.016 77.748 Td /F1 7.5 Tf [(independent, SAS code and output examples feature in an appendix and on the website. In addition, R )] TJ ET
BT 34.016 68.591 Td /F1 7.5 Tf [(code and output for all the examples are provided on the website.)] TJ ET
BT 34.016 59.433 Td /F1 7.5 Tf [(Univariate and Multivariate General Linear Models)] TJ ET
BT 200.741 59.433 Td /F1 7.5 Tf [( Kevin Kim 2019-12-02 Using a general framework, )] TJ ET
BT 34.016 50.276 Td /F1 7.5 Tf [(this book presents analyses of simple and complex models, employing data sets from various disciplines, )] TJ ET
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BT 34.016 553.938 Td /F1 7.5 Tf [(such as the social and behavioral sciences. This new edition adds two chapters on finite intersection )] TJ ET
BT 34.016 544.781 Td /F1 7.5 Tf [(tests and power analysis that illustrates the experimental GLMPOWER procedure. It includes expanded )] TJ ET
BT 34.016 535.623 Td /F1 7.5 Tf [(theory on unrestr)] TJ ET
BT 34.016 526.466 Td /F1 7.5 Tf [(Marginal Models)] TJ ET
BT 89.028 526.466 Td /F1 7.5 Tf [( Wicher Bergsma 2009-04-03 Marginal Models for Dependent, Clustered, and )] TJ ET
BT 34.016 517.308 Td /F1 7.5 Tf [(Longitudinal Categorical Data provides a comprehensive overview of the basic principles of marginal )] TJ ET
BT 34.016 508.151 Td /F1 7.5 Tf [(modeling and offers a wide range of possible applications. Marginal models are often the best choice for )] TJ ET
BT 34.016 498.993 Td /F1 7.5 Tf [(answering important research questions when dependent observations are involved, as the many real )] TJ ET
BT 34.016 489.836 Td /F1 7.5 Tf [(world examples in this book show. In the social, behavioral, educational, economic, and biomedical )] TJ ET
BT 34.016 480.678 Td /F1 7.5 Tf [(sciences, data are often collected in ways that introduce dependencies in the observations to be )] TJ ET
BT 34.016 471.521 Td /F1 7.5 Tf [(compared. For example, the same respondents are interviewed at several occasions, several members )] TJ ET
BT 34.016 462.363 Td /F1 7.5 Tf [(of networks or groups are interviewed within the same survey, or, within families, both children and )] TJ ET
BT 34.016 453.206 Td /F1 7.5 Tf [(parents are investigated. Statistical methods that take the dependencies in the data into account must )] TJ ET
BT 34.016 444.048 Td /F1 7.5 Tf [(then be used, e.g., when observations at time one and time two are compared in longitudinal studies. At )] TJ ET
BT 34.016 434.891 Td /F1 7.5 Tf [(present, researchers almost automatically turn to multi-level models or to GEE estimation to deal with )] TJ ET
BT 34.016 425.733 Td /F1 7.5 Tf [(these dependencies. Despite the enormous potential and applicability of these recent developments, they )] TJ ET
BT 34.016 416.576 Td /F1 7.5 Tf [(require restrictive assumptions on the nature of the dependencies in the data. The marginal models of )] TJ ET
BT 34.016 407.418 Td /F1 7.5 Tf [(this book provide another way of dealing with these dependencies, without the need for such )] TJ ET
BT 34.016 398.261 Td /F1 7.5 Tf [(assumptions, and can be used to answer research questions directly at the intended marginal level. The )] TJ ET
BT 34.016 389.103 Td /F1 7.5 Tf [(maximum likelihood method, with its attractive statistical properties, is used for fitting the models. This )] TJ ET
BT 34.016 379.946 Td /F1 7.5 Tf [(book has mainly been written with applied researchers in mind. It includes many real world examples, )] TJ ET
BT 34.016 370.788 Td /F1 7.5 Tf [(explains the types of research questions for which marginal modeling is useful, and provides a detailed )] TJ ET
BT 34.016 361.631 Td /F1 7.5 Tf [(description of how to apply marginal models for a great diversity of research questions. All these )] TJ ET
BT 34.016 352.473 Td /F1 7.5 Tf [(examples are presented on the book's website \(www.cmm.st\), along with user friendly programs.)] TJ ET
BT 34.016 343.316 Td /F1 7.5 Tf [(Multivariate Analysis with LISREL)] TJ ET
BT 145.713 343.316 Td /F1 7.5 Tf [( Karl G. Jöreskog 2016-10-17 This book traces the theory and )] TJ ET
BT 34.016 334.158 Td /F1 7.5 Tf [(methodology of multivariate statistical analysis and shows how it can be conducted in practice using the )] TJ ET
BT 34.016 325.001 Td /F1 7.5 Tf [(LISREL computer program. It presents not only the typical uses of LISREL, such as confirmatory factor )] TJ ET
BT 34.016 315.843 Td /F1 7.5 Tf [(analysis and structural equation models, but also several other multivariate analysis topics, including )] TJ ET
BT 34.016 306.686 Td /F1 7.5 Tf [(regression \(univariate, multivariate, censored, logistic, and probit\), generalized linear models, multilevel )] TJ ET
BT 34.016 297.528 Td /F1 7.5 Tf [(analysis, and principal component analysis. It provides numerous examples from several disciplines and )] TJ ET
BT 34.016 288.371 Td /F1 7.5 Tf [(discusses and interprets the results, illustrated with sections of output from the LISREL program, in the )] TJ ET
BT 34.016 279.213 Td /F1 7.5 Tf [(context of the example. The book is intended for masters and PhD students and researchers in the )] TJ ET
BT 34.016 270.056 Td /F1 7.5 Tf [(social, behavioral, economic and many other sciences who require a basic understanding of multivariate )] TJ ET
BT 34.016 260.898 Td /F1 7.5 Tf [(statistical theory and methods for their analysis of multivariate data. It can also be used as a textbook on )] TJ ET
BT 34.016 251.741 Td /F1 7.5 Tf [(various topics of multivariate statistical analysis.)] TJ ET
BT 34.016 242.583 Td /F1 7.5 Tf [(Introduction to General and Generalized Linear Models)] TJ ET
BT 216.603 242.583 Td /F1 7.5 Tf [( Henrik Madsen 2010-11-09 Bridging the gap )] TJ ET
BT 34.016 233.426 Td /F1 7.5 Tf [(between theory and practice for modern statistical model building, Introduction to General and )] TJ ET
BT 34.016 224.268 Td /F1 7.5 Tf [(Generalized Linear Models presents likelihood-based techniques for statistical modelling using various )] TJ ET
BT 34.016 215.111 Td /F1 7.5 Tf [(types of data. Implementations using R are provided throughout the text, although other software )] TJ ET
BT 34.016 205.953 Td /F1 7.5 Tf [(packages are also discussed. Numerous examples show how the problems are solved with R. After )] TJ ET
BT 34.016 196.796 Td /F1 7.5 Tf [(describing the necessary likelihood theory, the book covers both general and generalized linear models )] TJ ET
BT 34.016 187.638 Td /F1 7.5 Tf [(using the same likelihood-based methods. It presents the corresponding/parallel results for the general )] TJ ET
BT 34.016 178.481 Td /F1 7.5 Tf [(linear models first, since they are easier to understand and often more well known. The authors then )] TJ ET
BT 34.016 169.323 Td /F1 7.5 Tf [(explore random effects and mixed effects in a Gaussian context. They also introduce non-Gaussian )] TJ ET
BT 34.016 160.166 Td /F1 7.5 Tf [(hierarchical models that are members of the exponential family of distributions. Each chapter contains )] TJ ET
BT 34.016 151.008 Td /F1 7.5 Tf [(examples and guidelines for solving the problems via R. Providing a flexible framework for data analysis )] TJ ET
BT 34.016 141.851 Td /F1 7.5 Tf [(and model building, this text focuses on the statistical methods and models that can help predict the )] TJ ET
BT 34.016 132.693 Td /F1 7.5 Tf [(expected value of an outcome, dependent, or response variable. It offers a sound introduction to general )] TJ ET
BT 34.016 123.536 Td /F1 7.5 Tf [(and generalized linear models using the popular and powerful likelihood techniques. Ancillary materials )] TJ ET
BT 34.016 114.378 Td /F1 7.5 Tf [(are available at www.imm.dtu.dk/~hm/GLM)] TJ ET
BT 34.016 105.221 Td /F1 7.5 Tf [(A First Course in Linear Model Theory)] TJ ET
BT 160.721 105.221 Td /F1 7.5 Tf [( Nalini Ravishanker 2021-10-19 Thoroughly updated throughout, A )] TJ ET
BT 34.016 96.063 Td /F1 7.5 Tf [(First Course in Linear Model Theory, Second Edition is an intermediate-level statistics text that fills an )] TJ ET
BT 34.016 86.906 Td /F1 7.5 Tf [(important gap by presenting the theory of linear statistical models at a level appropriate for senior )] TJ ET
BT 34.016 77.748 Td /F1 7.5 Tf [(undergraduate or first-year graduate students. With an innovative approach, the authors introduce to )] TJ ET
BT 34.016 68.591 Td /F1 7.5 Tf [(students the mathematical and statistical concepts and tools that form a foundation for studying the )] TJ ET
BT 34.016 59.433 Td /F1 7.5 Tf [(theory and applications of both univariate and multivariate linear models. In addition to adding R )] TJ ET
BT 34.016 50.276 Td /F1 7.5 Tf [(functionality, this second edition features three new chapters and several sections on new topics that are )] TJ ET
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BT 34.016 553.938 Td /F1 7.5 Tf [(extremely relevant to the current research in statistical methodology. Revised or expanded topics include )] TJ ET
BT 34.016 544.781 Td /F1 7.5 Tf [(linear fixed, random and mixed effects models, generalized linear models, Bayesian and hierarchical )] TJ ET
BT 34.016 535.623 Td /F1 7.5 Tf [(linear models, model selection, multiple comparisons, and regularized and robust regression. New to the )] TJ ET
BT 34.016 526.466 Td /F1 7.5 Tf [(Second Edition: Coverage of inference for linear models has been expanded into two chapters. )] TJ ET
BT 34.016 517.308 Td /F1 7.5 Tf [(Expanded coverage of multiple comparisons, random and mixed effects models, model selection, and )] TJ ET
BT 34.016 508.151 Td /F1 7.5 Tf [(missing data. A new chapter on generalized linear models \(Chapter 12\). A new section on multivariate )] TJ ET
BT 34.016 498.993 Td /F1 7.5 Tf [(linear models in Chapter 13, and expanded coverage of the Bayesian linear models and longitudinal )] TJ ET
BT 34.016 489.836 Td /F1 7.5 Tf [(models. A new section on regularized regression in Chapter 14. Detailed data illustrations using R. The )] TJ ET
BT 34.016 480.678 Td /F1 7.5 Tf [(authors' fresh approach, methodical presentation, wealth of examples, use of R, and introduction to )] TJ ET
BT 34.016 471.521 Td /F1 7.5 Tf [(topics beyond the classical theory set this book apart from other texts on linear models. It forms a )] TJ ET
BT 34.016 462.363 Td /F1 7.5 Tf [(refreshing and invaluable first step in students' study of advanced linear models, generalized linear )] TJ ET
BT 34.016 453.206 Td /F1 7.5 Tf [(models, nonlinear models, and dynamic models.)] TJ ET
BT 34.016 444.048 Td /F1 7.5 Tf [(The Essential PROC SQL Handbook for SAS Users)] TJ ET
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BT 206.163 444.048 Td /F1 7.5 Tf [( Katherine Prairie 2005-06-21 Navigate the world of )] TJ ET
BT 34.016 434.891 Td /F1 7.5 Tf [(the powerful SQL procedure with Katherine Prairie's Essential PROC SQL Handbook for SAS Users. )] TJ ET
BT 34.016 425.733 Td /F1 7.5 Tf [(Written in an easy-to-use, logical format, this comprehensive reference focuses on the functionality of the )] TJ ET
BT 34.016 416.576 Td /F1 7.5 Tf [(procedure, as well as the accomplishment of common tasks using PROC SQL, enabling readers to )] TJ ET
BT 34.016 407.418 Td /F1 7.5 Tf [(quickly develop and enhance their SQL skills. Features include more than 300 examples of PROC SQL )] TJ ET
BT 34.016 398.261 Td /F1 7.5 Tf [(code, plus queries and diagrams showing how the statements are processed, tips and techniques )] TJ ET
BT 34.016 389.103 Td /F1 7.5 Tf [(highlighting "need-to-know" concepts, and an appendix designed specifically for SQL Pass-Through )] TJ ET
BT 34.016 379.946 Td /F1 7.5 Tf [(Facility and SAS/ACCESS users. This practical guide is written for SAS users of all levels who want to )] TJ ET
BT 34.016 370.788 Td /F1 7.5 Tf [(learn how to integrate the SQL procedure into their Base SAS and/or SAS/ACCESS programs as well as )] TJ ET
BT 34.016 361.631 Td /F1 7.5 Tf [(SQL programmers who want to adapt their current skills to SAS. This book is part of the SAS Press )] TJ ET
BT 34.016 352.473 Td /F1 7.5 Tf [(program.)] TJ ET
BT 34.016 343.316 Td /F1 7.5 Tf [(Applying Generalized Linear Models)] TJ ET
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34.016 342.078 m 154.481 342.078 l S
BT 154.481 343.316 Td /F1 7.5 Tf [( James K. Lindsey 2008-01-15 This book describes how generalised )] TJ ET
BT 34.016 334.158 Td /F1 7.5 Tf [(linear modelling procedures can be used in many different fields, without becoming entangled in )] TJ ET
BT 34.016 325.001 Td /F1 7.5 Tf [(problems of statistical inference. The author shows the unity of many of the commonly used models and )] TJ ET
BT 34.016 315.843 Td /F1 7.5 Tf [(provides readers with a taste of many different areas, such as survival models, time series, and spatial )] TJ ET
BT 34.016 306.686 Td /F1 7.5 Tf [(analysis, and of their unity. As such, this book will appeal to applied statisticians and to scientists having )] TJ ET
BT 34.016 297.528 Td /F1 7.5 Tf [(a basic grounding in modern statistics. With many exercises at the end of each chapter, it will equally )] TJ ET
BT 34.016 288.371 Td /F1 7.5 Tf [(constitute an excellent text for teaching applied statistics students and non- statistics majors. The reader )] TJ ET
BT 34.016 279.213 Td /F1 7.5 Tf [(is assumed to have knowledge of basic statistical principles, whether from a Bayesian, frequentist, or )] TJ ET
BT 34.016 270.056 Td /F1 7.5 Tf [(direct likelihood point of view, being familiar at least with the analysis of the simpler normal linear models, )] TJ ET
BT 34.016 260.898 Td /F1 7.5 Tf [(regression and ANOVA.)] TJ ET
BT 34.016 251.741 Td /F1 7.5 Tf [(Univariate and multivariate general linear models)] TJ ET
BT 196.571 251.741 Td /F1 7.5 Tf [( Tammy A. Mieczkowski 1997 )] TJ ET
BT 34.016 242.583 Td /F1 7.5 Tf [(Linear Model Theory)] TJ ET
BT 102.791 242.583 Td /F1 7.5 Tf [( Keith E. Muller 2006-10-06 A precise and accessible presentation of linear model )] TJ ET
BT 34.016 233.426 Td /F1 7.5 Tf [(theory, illustrated with data examples Statisticians often use linear models for data analysis and for )] TJ ET
BT 34.016 224.268 Td /F1 7.5 Tf [(developing new statistical methods. Most books on the subject have historically discussed univariate, )] TJ ET
BT 34.016 215.111 Td /F1 7.5 Tf [(multivariate, and mixed linear models separately, whereas Linear Model Theory: Univariate, Multivariate, )] TJ ET
BT 34.016 205.953 Td /F1 7.5 Tf [(and Mixed Models presents a unified treatment in order to make clear the distinctions among the three )] TJ ET
BT 34.016 196.796 Td /F1 7.5 Tf [(classes of models. Linear Model Theory: Univariate, Multivariate, and Mixed Models begins with six )] TJ ET
BT 34.016 187.638 Td /F1 7.5 Tf [(chapters devoted to providing brief and clear mathematical statements of models, procedures, and )] TJ ET
BT 34.016 178.481 Td /F1 7.5 Tf [(notation. Data examples motivate and illustrate the models. Chapters 7-10 address distribution theory of )] TJ ET
BT 34.016 169.323 Td /F1 7.5 Tf [(multivariate Gaussian variables and quadratic forms. Chapters 11-19 detail methods for estimation, )] TJ ET
BT 34.016 160.166 Td /F1 7.5 Tf [(hypothesis testing, and confidence intervals. The final chapters, 20-23, concentrate on choosing a )] TJ ET
BT 34.016 151.008 Td /F1 7.5 Tf [(sample size. Substantial sets of excercises of varying difficulty serve instructors for their classes, as well )] TJ ET
BT 34.016 141.851 Td /F1 7.5 Tf [(as help students to test their own knowledge. The reader needs a basic knowledge of statistics, )] TJ ET
BT 34.016 132.693 Td /F1 7.5 Tf [(probability, and inference, as well as a solid background in matrix theory and applied univariate linear )] TJ ET
BT 34.016 123.536 Td /F1 7.5 Tf [(models from a matrix perspective. Topics covered include: A review of matrix algebra for linear models )] TJ ET
BT 34.016 114.378 Td /F1 7.5 Tf [(The general linear univariate model The general linear multivariate model Generalizations of the )] TJ ET
BT 34.016 105.221 Td /F1 7.5 Tf [(multivariate linear model The linear mixed model Multivariate distribution theory Estimation in linear )] TJ ET
BT 34.016 96.063 Td /F1 7.5 Tf [(models Tests in Gaussian linear models Choosing a sample size in Gaussian linear models Filling the )] TJ ET
BT 34.016 86.906 Td /F1 7.5 Tf [(need for a text that provides the necessary theoretical foundations for applying a wide range of methods )] TJ ET
BT 34.016 77.748 Td /F1 7.5 Tf [(in real situations, Linear Model Theory: Univariate, Multivariate, and Mixed Models centers on linear )] TJ ET
BT 34.016 68.591 Td /F1 7.5 Tf [(models of interval scale responses with finite second moments. Models with complex predictors, complex )] TJ ET
BT 34.016 59.433 Td /F1 7.5 Tf [(responses, or both, motivate the presentation.)] TJ ET
BT 34.016 50.276 Td /F1 7.5 Tf [(Multivariate Statistical Modelling Based on Generalized Linear Models)] TJ ET
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BT 266.186 50.276 Td /F1 7.5 Tf [( Ludwig Fahrmeir 2013-11-11 )] TJ ET
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BT 34.016 553.938 Td /F1 7.5 Tf [(Concerned with the use of generalised linear models for univariate and multivariate regression analysis, )] TJ ET
BT 34.016 544.781 Td /F1 7.5 Tf [(this is a detailed introductory survey of the subject, based on the analysis of real data drawn from a )] TJ ET
BT 34.016 535.623 Td /F1 7.5 Tf [(variety of subjects such as the biological sciences, economics, and the social sciences. Where possible, )] TJ ET
BT 34.016 526.466 Td /F1 7.5 Tf [(technical details and proofs are deferred to an appendix in order to provide an accessible account for non-)] TJ ET
BT 34.016 517.308 Td /F1 7.5 Tf [(experts. Topics covered include: models for multi-categorical responses, model checking, time series and )] TJ ET
BT 34.016 508.151 Td /F1 7.5 Tf [(longitudinal data, random effects models, and state-space models. Throughout, the authors have taken )] TJ ET
BT 34.016 498.993 Td /F1 7.5 Tf [(great pains to discuss the underlying theoretical ideas in ways that relate well to the data at hand. As a )] TJ ET
BT 34.016 489.836 Td /F1 7.5 Tf [(result, numerous researchers whose work relies on the use of these models will find this an invaluable )] TJ ET
BT 34.016 480.678 Td /F1 7.5 Tf [(account.)] TJ ET
BT 34.016 471.521 Td /F1 7.5 Tf [(Pharmaceutical Statistics Using SAS)] TJ ET
BT 156.138 471.521 Td /F1 7.5 Tf [( Alex Dmitrienko 2007 Introduces a range of data analysis problems )] TJ ET
BT 34.016 462.363 Td /F1 7.5 Tf [(encountered in drug development and illustrates them using case studies from actual pre-clinical )] TJ ET
BT 34.016 453.206 Td /F1 7.5 Tf [(experiments and clinical studies. Includes a discussion of methodological issues, practical advice from )] TJ ET
BT 34.016 444.048 Td /F1 7.5 Tf [(subject matter experts, and review of relevant regulatory guidelines.)] TJ ET
BT 34.016 434.891 Td /F1 7.5 Tf [(Multivariate General Linear Models)] TJ ET
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BT 150.303 434.891 Td /F1 7.5 Tf [( Richard F. Haase 2011-11-23 This book provides a graduate level )] TJ ET
BT 34.016 425.733 Td /F1 7.5 Tf [(introduction to multivariate multiple regression analysis. The book can be used as a sole text for that )] TJ ET
BT 34.016 416.576 Td /F1 7.5 Tf [(topic, or as a supplemental text in a course that addresses a larger number of multivariate topics. The )] TJ ET
BT 34.016 407.418 Td /F1 7.5 Tf [(text is divided into seven short chapters. Apart from the introductory chapter giving an overview of )] TJ ET
BT 34.016 398.261 Td /F1 7.5 Tf [(multivariate multiple regression models, the content outline follows the classic steps required to solve )] TJ ET
BT 34.016 389.103 Td /F1 7.5 Tf [(multivariate general linear model problems: \(a\) specifying the model \(b\)estimating the parameters of the )] TJ ET
BT 34.016 379.946 Td /F1 7.5 Tf [(model \(c\) establishing measures of goodness of fit of the model \(d\) establishing test statistics and testing )] TJ ET
BT 34.016 370.788 Td /F1 7.5 Tf [(hypotheses about the model \(e\) diagnosing the adequacy of the model.)] TJ ET
BT 34.016 361.631 Td /F1 7.5 Tf [(Applied Regression Analysis and Generalized Linear Models)] TJ ET
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34.016 360.393 m 235.346 360.393 l S
BT 235.346 361.631 Td /F1 7.5 Tf [( John Fox 2015-03-18 Combining a modern, )] TJ ET
BT 34.016 352.473 Td /F1 7.5 Tf [(data-analytic perspective with a focus on applications in the social sciences, the Third Edition of Applied )] TJ ET
BT 34.016 343.316 Td /F1 7.5 Tf [(Regression Analysis and Generalized Linear Models provides in-depth coverage of regression analysis, )] TJ ET
BT 34.016 334.158 Td /F1 7.5 Tf [(generalized linear models, and closely related methods, such as bootstrapping and missing data. )] TJ ET
BT 34.016 325.001 Td /F1 7.5 Tf [(Updated throughout, this Third Edition includes new chapters on mixed-effects models for hierarchical )] TJ ET
BT 34.016 315.843 Td /F1 7.5 Tf [(and longitudinal data. Although the text is largely accessible to readers with a modest background in )] TJ ET
BT 34.016 306.686 Td /F1 7.5 Tf [(statistics and mathematics, author John Fox also presents more advanced material in optional sections )] TJ ET
BT 34.016 297.528 Td /F1 7.5 Tf [(and chapters throughout the book. Available with Perusall—an eBook that makes it easier to prepare for )] TJ ET
BT 34.016 288.371 Td /F1 7.5 Tf [(class Perusall is an award-winning eBook platform featuring social annotation tools that allow students )] TJ ET
BT 34.016 279.213 Td /F1 7.5 Tf [(and instructors to collaboratively mark up and discuss their SAGE textbook. Backed by research and )] TJ ET
BT 34.016 270.056 Td /F1 7.5 Tf [(supported by technological innovations developed at Harvard University, this process of learning through )] TJ ET
BT 34.016 260.898 Td /F1 7.5 Tf [(collaborative annotation keeps your students engaged and makes teaching easier and more effective. )] TJ ET
BT 34.016 251.741 Td /F1 7.5 Tf [(Learn more.)] TJ ET
BT 34.016 242.583 Td /F1 7.5 Tf [(SAS System for Regression)] TJ ET
BT 126.963 242.583 Td /F1 7.5 Tf [( Rudolf Freund 2000-12-29 This book describes how to use the SAS System )] TJ ET
BT 34.016 233.426 Td /F1 7.5 Tf [(to perform a wide variety of different regression analyses, such as using various models as well as )] TJ ET
BT 34.016 224.268 Td /F1 7.5 Tf [(diagnosing data problems. Topics include performing linear regression analyses using PROC REG; )] TJ ET
BT 34.016 215.111 Td /F1 7.5 Tf [(diagnosing and providing remedies for data problems including outliers and multicollinearity; using )] TJ ET
BT 34.016 205.953 Td /F1 7.5 Tf [(regression to fit a variety of different models, including nonlinear models; using SAS/INSIGHT software )] TJ ET
BT 34.016 196.796 Td /F1 7.5 Tf [(for performing regression analysis. Examples feature many SAS procedures including REG, PLOT, )] TJ ET
BT 34.016 187.638 Td /F1 7.5 Tf [(GPLOT, NLIN, RSREG, AUTOREG, PRINCOMP, and others.)] TJ ET
BT 34.016 178.481 Td /F1 7.5 Tf [(Parameter Estimation and Hypothesis Testing in Linear Models)] TJ ET
BT 243.678 178.481 Td /F1 7.5 Tf [( Karl-Rudolf Koch 2013-03-09 A )] TJ ET
BT 34.016 169.323 Td /F1 7.5 Tf [(treatment of estimating unknown parameters, testing hypotheses and estimating confidence intervals in )] TJ ET
BT 34.016 160.166 Td /F1 7.5 Tf [(linear models. Readers will find here presentations of the Gauss-Markoff model, the analysis of variance, )] TJ ET
BT 34.016 151.008 Td /F1 7.5 Tf [(the multivariate model, the model with unknown variance and covariance components and the regression )] TJ ET
BT 34.016 141.851 Td /F1 7.5 Tf [(model as well as the mixed model for estimating random parameters. A chapter on the robust estimation )] TJ ET
BT 34.016 132.693 Td /F1 7.5 Tf [(of parameters and several examples have been added to this second edition. The necessary theorems of )] TJ ET
BT 34.016 123.536 Td /F1 7.5 Tf [(vector and matrix algebra and the probability distributions of test statistics are derived so as to make this )] TJ ET
BT 34.016 114.378 Td /F1 7.5 Tf [(book self-contained. Geodesy students as well as those in the natural sciences and engineering will find )] TJ ET
BT 34.016 105.221 Td /F1 7.5 Tf [(the emphasis on the geodetic application of statistical models extremely useful.)] TJ ET
BT 34.016 96.063 Td /F1 7.5 Tf [(Analysis of Multiple Dependent Variables)] TJ ET
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BT 170.321 96.063 Td /F1 7.5 Tf [( Patrick Dattalo 2013-03-14 This pocket guide provides a )] TJ ET
BT 34.016 86.906 Td /F1 7.5 Tf [(concise, practical, and economical introduction to four procedures for the analysis of multiple dependent )] TJ ET
BT 34.016 77.748 Td /F1 7.5 Tf [(variables: multivariate analysis of variance \(MANOVA\), multivariate analysis of covariance \(MANCOVA\), )] TJ ET
BT 34.016 68.591 Td /F1 7.5 Tf [(multivariate multiple regression \(MMR\), and structural equation modeling \(SEM\).)] TJ ET
BT 34.016 59.433 Td /F1 7.5 Tf [(A First Course in Linear Model Theory)] TJ ET
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BT 160.721 59.433 Td /F1 7.5 Tf [( Nalini Ravishanker 2001-12-21 This innovative, intermediate-level )] TJ ET
BT 34.016 50.276 Td /F1 7.5 Tf [(statistics text fills an important gap by presenting the theory of linear statistical models at a level )] TJ ET
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BT 34.016 553.938 Td /F1 7.5 Tf [(appropriate for senior undergraduate or first-year graduate students. With an innovative approach, the )] TJ ET
BT 34.016 544.781 Td /F1 7.5 Tf [(author's introduces students to the mathematical and statistical concepts and tools that form a foundation )] TJ ET
BT 34.016 535.623 Td /F1 7.5 Tf [(for studying the theory and applications of both univariate and multivariate linear models A First Course )] TJ ET
BT 34.016 526.466 Td /F1 7.5 Tf [(in Linear Model Theory systematically presents the basic theory behind linear statistical models with )] TJ ET
BT 34.016 517.308 Td /F1 7.5 Tf [(motivation from an algebraic as well as a geometric perspective. Through the concepts and tools of )] TJ ET
BT 34.016 508.151 Td /F1 7.5 Tf [(matrix and linear algebra and distribution theory, it provides a framework for understanding classical and )] TJ ET
BT 34.016 498.993 Td /F1 7.5 Tf [(contemporary linear model theory. It does not merely introduce formulas, but develops in students the art )] TJ ET
BT 34.016 489.836 Td /F1 7.5 Tf [(of statistical thinking and inspires learning at an intuitive level by emphasizing conceptual understanding. )] TJ ET
BT 34.016 480.678 Td /F1 7.5 Tf [(The authors' fresh approach, methodical presentation, wealth of examples, and introduction to topics )] TJ ET
BT 34.016 471.521 Td /F1 7.5 Tf [(beyond the classical theory set this book apart from other texts on linear models. It forms a refreshing )] TJ ET
BT 34.016 462.363 Td /F1 7.5 Tf [(and invaluable first step in students' study of advanced linear models, generalized linear models, )] TJ ET
BT 34.016 453.206 Td /F1 7.5 Tf [(nonlinear models, and dynamic models.)] TJ ET
BT 34.016 444.048 Td /F1 7.5 Tf [(SAS Programming for Researchers and Social Scientists)] TJ ET
BT 222.828 444.048 Td /F1 7.5 Tf [( Paul E. Spector 2001-04-20 Second Edition )] TJ ET
BT 34.016 434.891 Td /F1 7.5 Tf [(SAS® PROGRAMMING FOR RESEARCHERS AND SOCIAL SCIENTISTS By PAUL E. SPECTOR, )] TJ ET
BT 34.016 425.733 Td /F1 7.5 Tf [(University of South Florida University of South Florida "Just what the novice SAS programmer needs, )] TJ ET
BT 34.016 416.576 Td /F1 7.5 Tf [(particularly those who have no real programming experience. For example, branching is one of the more )] TJ ET
BT 34.016 407.418 Td /F1 7.5 Tf [(difficult programming commands for students to implement and the author does an excellent job of )] TJ ET
BT 34.016 398.261 Td /F1 7.5 Tf [(explaining this topic clearly and at a basic level. A big plus is the Common Errors section since students )] TJ ET
BT 34.016 389.103 Td /F1 7.5 Tf [(will definitely encounter errors." a?Robert Pavur, Management Science, University of North Texas The )] TJ ET
BT 34.016 379.946 Td /F1 7.5 Tf [(book that won accolades from thousands has been completely revised! Taking a problem solving )] TJ ET
BT 34.016 370.788 Td /F1 7.5 Tf [(approach that focuses on common programming tasks that social scientists encounter in doing data )] TJ ET
BT 34.016 361.631 Td /F1 7.5 Tf [(analysis, Spector uses sample programs and examples from social science problems to show readers )] TJ ET
BT 34.016 352.473 Td /F1 7.5 Tf [(how to write orderly programs and avoid excessive and disorganized branching. He provides readers )] TJ ET
BT 34.016 343.316 Td /F1 7.5 Tf [(with a three-step approach \(preplanning, writing the program, and debugging\) and tips about helpful )] TJ ET
BT 34.016 334.158 Td /F1 7.5 Tf [(features and practices as well as how to avoid certain pitfalls. "Spector has done an excellent job in )] TJ ET
BT 34.016 325.001 Td /F1 7.5 Tf [(explaining a somewhat difficult topic in a clear and concise manner. I like the fact that screen captures )] TJ ET
BT 34.016 315.843 Td /F1 7.5 Tf [(are included. It allows students to better follow what is being described in the book in relation to what is )] TJ ET
BT 34.016 306.686 Td /F1 7.5 Tf [(on the screen." a?Philip Craiger, Computer Science, University of Nebraska, Omaha ThisA bookA )] TJ ET
BT 34.016 297.528 Td /F1 7.5 Tf [(provides readers with even more practical tips and advice. New features in this edition include: *New )] TJ ET
BT 34.016 288.371 Td /F1 7.5 Tf [(sections on debugging in each chapter that provide advice about common errors *End of chapter )] TJ ET
BT 34.016 279.213 Td /F1 7.5 Tf [(Debugging Exercises that offer readers the chance to practice spotting the errors in the sample programs )] TJ ET
BT 34.016 270.056 Td /F1 7.5 Tf [(*New section in Chapter 1 on how to use the interface, including how to work with three separate )] TJ ET
BT 34.016 260.898 Td /F1 7.5 Tf [(windows, where to write the program, executing the program, managing the program files, and using the )] TJ ET
BT 34.016 251.741 Td /F1 7.5 Tf [(F key *Five new appendices, including a Glossary of Programming Terms, A Summary of SAS Language )] TJ ET
BT 34.016 242.583 Td /F1 7.5 Tf [(Statements, A Summary of SAS PROCs, Information Sources for SAS PROCs, and Corrections for the )] TJ ET
BT 34.016 233.426 Td /F1 7.5 Tf [(Debugging Exercises *Plus, a link to Spector's online SAS course! Appropriate for readers with little or no )] TJ ET
BT 34.016 224.268 Td /F1 7.5 Tf [(knowledge of the SAS language, this book will enable readers to run each example, adapt the examples )] TJ ET
BT 34.016 215.111 Td /F1 7.5 Tf [(to real problems that the reader may have, and create a program. "A solid introduction to programming in )] TJ ET
BT 34.016 205.953 Td /F1 7.5 Tf [(SAS, with a good, brief explanation of how that process differs from the usual point-and-click of Windows-)] TJ ET
BT 34.016 196.796 Td /F1 7.5 Tf [(based software such as SPSS and a spreadsheet. Even uninformed students can use it as a guide to )] TJ ET
BT 34.016 187.638 Td /F1 7.5 Tf [(creating SAS datasets, manipulating them, and writing programs in the SAS language that will produce )] TJ ET
BT 34.016 178.481 Td /F1 7.5 Tf [(all manner of statistical results." a?James P. Whittenburg, History, College of William & Mary A "Bridges )] TJ ET
BT 34.016 169.323 Td /F1 7.5 Tf [(the gap between programming syntax and programming applications. In contrast to other books on SAS )] TJ ET
BT 34.016 160.166 Td /F1 7.5 Tf [(programming, this book combines a clear explanation of the SAS language with a problem-solving )] TJ ET
BT 34.016 151.008 Td /F1 7.5 Tf [(approach to writing a SAS program. It provides the novice programmer with a useful and meaningful )] TJ ET
BT 34.016 141.851 Td /F1 7.5 Tf [(model for solving the types of programming problems encountered by re)] TJ ET
BT 34.016 132.693 Td /F1 7.5 Tf [(Interpretable Machine Learning)] TJ ET
BT 137.816 132.693 Td /F1 7.5 Tf [( Christoph Molnar 2019 )] TJ ET
BT 34.016 123.536 Td /F1 7.5 Tf [(Robust Methods in Biostatistics)] TJ ET
BT 138.221 123.536 Td /F1 7.5 Tf [( Stephane Heritier 2009-05-11 Robust statistics is an extension of )] TJ ET
BT 34.016 114.378 Td /F1 7.5 Tf [(classical statistics that specifically takes into account the concept that the underlying models used to )] TJ ET
BT 34.016 105.221 Td /F1 7.5 Tf [(describe data are only approximate. Its basic philosophy is to produce statistical procedures which are )] TJ ET
BT 34.016 96.063 Td /F1 7.5 Tf [(stable when the data do not exactly match the postulated models as it is the case for example with )] TJ ET
BT 34.016 86.906 Td /F1 7.5 Tf [(outliers. Robust Methods in Biostatistics proposes robust alternatives to common methods used in )] TJ ET
BT 34.016 77.748 Td /F1 7.5 Tf [(statistics in general and in biostatistics in particular and illustrates their use on many biomedical datasets. )] TJ ET
BT 34.016 68.591 Td /F1 7.5 Tf [(The methods introduced include robust estimation, testing, model selection, model check and )] TJ ET
BT 34.016 59.433 Td /F1 7.5 Tf [(diagnostics. They are developed for the following general classes of models: Linear regression )] TJ ET
BT 34.016 50.276 Td /F1 7.5 Tf [(Generalized linear models Linear mixed models Marginal longitudinal data models Cox survival analysis )] TJ ET
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BT 34.016 553.938 Td /F1 7.5 Tf [(model The methods are introduced both at a theoretical and applied level within the framework of each )] TJ ET
BT 34.016 544.781 Td /F1 7.5 Tf [(general class of models, with a particular emphasis put on practical data analysis. This book is of )] TJ ET
BT 34.016 535.623 Td /F1 7.5 Tf [(particular use for research students,applied statisticians and practitioners in the health field interested in )] TJ ET
BT 34.016 526.466 Td /F1 7.5 Tf [(more stable statistical techniques. An accompanying website provides R code for computing all of the )] TJ ET
BT 34.016 517.308 Td /F1 7.5 Tf [(methods described, as well as for analyzing all the datasets used in the book.)] TJ ET
BT 34.016 508.151 Td /F1 7.5 Tf [(Multivariate General Linear Models)] TJ ET
BT 150.303 508.151 Td /F1 7.5 Tf [( Richard F. Haase 2011-11-23 Multivariate General Linear Models is )] TJ ET
BT 34.016 498.993 Td /F1 7.5 Tf [(an integrated introduction to multivariate multiple regression analysis \(MMR\) and multivariate analysis of )] TJ ET
BT 34.016 489.836 Td /F1 7.5 Tf [(variance \(MANOVA\). Beginning with an overview of the univariate general linear model, this volume )] TJ ET
BT 34.016 480.678 Td /F1 7.5 Tf [(defines the key steps in analyzing linear model data, and introduces multivariate linear model analysis as )] TJ ET
BT 34.016 471.521 Td /F1 7.5 Tf [(a generalization of the univariate model. The author focuses on multivariate measures of association for )] TJ ET
BT 34.016 462.363 Td /F1 7.5 Tf [(four common multivariate test statistics, presents a flexible method for testing hypotheses on models, )] TJ ET
BT 34.016 453.206 Td /F1 7.5 Tf [(and emphasizes the multivariate procedures attributable to Wilks, Pillai, Hotelling, and Roy. The volume )] TJ ET
BT 34.016 444.048 Td /F1 7.5 Tf [(concludes with a discussion of canonical correlation analysis that is shown to subsume all the )] TJ ET
BT 34.016 434.891 Td /F1 7.5 Tf [(multivariate procedures discussed in previous chapters. The analyses are illustrated throughout the text )] TJ ET
BT 34.016 425.733 Td /F1 7.5 Tf [(with three running examples drawing from several disciples, including personnel psychology, )] TJ ET
BT 34.016 416.576 Td /F1 7.5 Tf [(anthropology, environmental epidemiology, and neuropsychology.)] TJ ET
BT 34.016 407.418 Td /F1 7.5 Tf [(Nonparametric Analysis of Univariate Heavy-Tailed Data)] TJ ET
BT 221.568 407.418 Td /F1 7.5 Tf [( Natalia Markovich 2008-03-11 Heavy-tailed )] TJ ET
BT 34.016 398.261 Td /F1 7.5 Tf [(distributions are typical for phenomena in complex multi-component systems such as biometry, )] TJ ET
BT 34.016 389.103 Td /F1 7.5 Tf [(economics, ecological systems, sociology, web access statistics, internet traffic, biblio-metrics, finance )] TJ ET
BT 34.016 379.946 Td /F1 7.5 Tf [(and business. The analysis of such distributions requires special methods of estimation due to their )] TJ ET
BT 34.016 370.788 Td /F1 7.5 Tf [(specific features. These are not only the slow decay to zero of the tail, but also the violation of Cramer’s )] TJ ET
BT 34.016 361.631 Td /F1 7.5 Tf [(condition, possible non-existence of some moments, and sparse observations in the tail of the )] TJ ET
BT 34.016 352.473 Td /F1 7.5 Tf [(distribution. The book focuses on the methods of statistical analysis of heavy-tailed independent )] TJ ET
BT 34.016 343.316 Td /F1 7.5 Tf [(identically distributed random variables by empirical samples of moderate sizes. It provides a detailed )] TJ ET
BT 34.016 334.158 Td /F1 7.5 Tf [(survey of classical results and recent developments in the theory of nonparametric estimation of the )] TJ ET
BT 34.016 325.001 Td /F1 7.5 Tf [(probability density function, the tail index, the hazard rate and the renewal function. Both asymptotical )] TJ ET
BT 34.016 315.843 Td /F1 7.5 Tf [(results, for example convergence rates of the estimates, and results for the samples of moderate sizes )] TJ ET
BT 34.016 306.686 Td /F1 7.5 Tf [(supported by Monte-Carlo investigation, are considered. The text is illustrated by the application of the )] TJ ET
BT 34.016 297.528 Td /F1 7.5 Tf [(considered methodologies to real data of web traffic measurements.)] TJ ET
BT 34.016 288.371 Td /F1 7.5 Tf [(Statistical Methods for the Analysis of Repeated Measurements)] TJ ET
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34.016 287.133 m 244.938 287.133 l S
BT 244.938 288.371 Td /F1 7.5 Tf [( Charles S. Davis 2008-01-10 A )] TJ ET
BT 34.016 279.213 Td /F1 7.5 Tf [(comprehensive introduction to a wide variety of statistical methods for the analysis of repeated )] TJ ET
BT 34.016 270.056 Td /F1 7.5 Tf [(measurements. It is designed to be both a useful reference for practitioners and a textbook for a )] TJ ET
BT 34.016 260.898 Td /F1 7.5 Tf [(graduate-level course focused on methods for the analysis of repeated measurements. The important )] TJ ET
BT 34.016 251.741 Td /F1 7.5 Tf [(features of this book include a comprehensive coverage of classical and recent methods for continuous )] TJ ET
BT 34.016 242.583 Td /F1 7.5 Tf [(and categorical outcome variables; numerous homework problems at the end of each chapter; and the )] TJ ET
BT 34.016 233.426 Td /F1 7.5 Tf [(extensive use of real data sets in examples and homework problems.)] TJ ET
BT 34.016 224.268 Td /F1 7.5 Tf [(Generalized Linear Models for Insurance Rating)] TJ ET
BT 193.248 224.268 Td /F1 7.5 Tf [( Mark Goldburd 2016-06-08 )] TJ ET
BT 34.016 215.111 Td /F1 7.5 Tf [(Applied Univariate, Bivariate, and Multivariate Statistics)] TJ ET
BT 217.413 215.111 Td /F1 7.5 Tf [( Daniel J. Denis 2015-11-02 A clear and efficient )] TJ ET
BT 34.016 205.953 Td /F1 7.5 Tf [(balance between theory and application of statistical modeling techniques in the social and behavioral )] TJ ET
BT 34.016 196.796 Td /F1 7.5 Tf [(sciences Written as a general and accessible introduction, Applied Univariate, Bivariate, and Multivariate )] TJ ET
BT 34.016 187.638 Td /F1 7.5 Tf [(Statistics provides an overview of statistical modeling techniques used in fields in the social and )] TJ ET
BT 34.016 178.481 Td /F1 7.5 Tf [(behavioral sciences. Blending statistical theory and methodology, the book surveys both the technical )] TJ ET
BT 34.016 169.323 Td /F1 7.5 Tf [(and theoretical aspects of good data analysis. Featuring applied resources at various levels, the book )] TJ ET
BT 34.016 160.166 Td /F1 7.5 Tf [(includes statistical techniques such as t-tests and correlation as well as more advanced procedures such )] TJ ET
BT 34.016 151.008 Td /F1 7.5 Tf [(as MANOVA, factor analysis, and structural equation modeling. To promote a more in-depth )] TJ ET
BT 34.016 141.851 Td /F1 7.5 Tf [(interpretation of statistical techniques across the sciences, the book surveys some of the technical )] TJ ET
BT 34.016 132.693 Td /F1 7.5 Tf [(arguments underlying formulas and equations. Applied Univariate, Bivariate, and Multivariate Statistics )] TJ ET
BT 34.016 123.536 Td /F1 7.5 Tf [(also features Demonstrations of statistical techniques using software packages such as R and SPSS® )] TJ ET
BT 34.016 114.378 Td /F1 7.5 Tf [(Examples of hypothetical and real data with subsequent statistical analyses Historical and philosophical )] TJ ET
BT 34.016 105.221 Td /F1 7.5 Tf [(insights into many of the techniques used in modern social science A companion website that includes )] TJ ET
BT 34.016 96.063 Td /F1 7.5 Tf [(further instructional details, additional data sets, solutions to selected exercises, and multiple )] TJ ET
BT 34.016 86.906 Td /F1 7.5 Tf [(programming options An ideal textbook for courses in statistics and methodology at the upper- )] TJ ET
BT 34.016 77.748 Td /F1 7.5 Tf [(undergraduate and graduate-levels in psychology, political science, biology, sociology, education, )] TJ ET
BT 34.016 68.591 Td /F1 7.5 Tf [(economics, communications, law, and survey research, Applied Univariate, Bivariate, and Multivariate )] TJ ET
BT 34.016 59.433 Td /F1 7.5 Tf [(Statistics is also a useful reference for practitioners and researchers in their field of application. DANIEL )] TJ ET
BT 34.016 50.276 Td /F1 7.5 Tf [(J. DENIS, PhD, is Associate Professor of Quantitative Psychology at the University of Montana where he )] TJ ET
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BT 34.016 553.938 Td /F1 7.5 Tf [(teaches courses in univariate and multivariate statistics. He has published a number of articles in peer-)] TJ ET
BT 34.016 544.781 Td /F1 7.5 Tf [(reviewed journals and has served as consultant to researchers and practitioners in a variety of fields.)] TJ ET
BT 34.016 535.623 Td /F1 7.5 Tf [(Handbook of Univariate and Multivariate Data Analysis and Interpretation with SPSS)] TJ ET
BT 313.721 535.623 Td /F1 7.5 Tf [( Robert Ho 2006-03-)] TJ ET
BT 34.016 526.466 Td /F1 7.5 Tf [(24 Many statistics texts tend to focus more on the theory and mathematics underlying statistical tests )] TJ ET
BT 34.016 517.308 Td /F1 7.5 Tf [(than on their applications and interpretation. This can leave readers with little understanding of how to )] TJ ET
BT 34.016 508.151 Td /F1 7.5 Tf [(apply statistical tests or how to interpret their findings. While the SPSS statistical software has done )] TJ ET
BT 34.016 498.993 Td /F1 7.5 Tf [(much to alleviate the frustrations of s)] TJ ET
BT 34.016 489.836 Td /F1 7.5 Tf [(Linear Models in Statistics)] TJ ET
BT 121.128 489.836 Td /F1 7.5 Tf [( Alvin C. Rencher 2008-01-18 The essential introduction to the theory and )] TJ ET
BT 34.016 480.678 Td /F1 7.5 Tf [(application of linear models—now in a valuable new edition Since most advanced statistical tools are )] TJ ET
BT 34.016 471.521 Td /F1 7.5 Tf [(generalizations of the linear model, it is neces-sary to first master the linear model in order to move )] TJ ET
BT 34.016 462.363 Td /F1 7.5 Tf [(forward to more advanced concepts. The linear model remains the main tool of the applied statistician )] TJ ET
BT 34.016 453.206 Td /F1 7.5 Tf [(and is central to the training of any statistician regardless of whether the focus is applied or theoretical. )] TJ ET
BT 34.016 444.048 Td /F1 7.5 Tf [(This completely revised and updated new edition successfully develops the basic theory of linear models )] TJ ET
BT 34.016 434.891 Td /F1 7.5 Tf [(for regression, analysis of variance, analysis of covariance, and linear mixed models. Recent advances in )] TJ ET
BT 34.016 425.733 Td /F1 7.5 Tf [(the methodology related to linear mixed models, generalized linear models, and the Bayesian linear )] TJ ET
BT 34.016 416.576 Td /F1 7.5 Tf [(model are also addressed. Linear Models in Statistics, Second Edition includes full coverage of advanced )] TJ ET
BT 34.016 407.418 Td /F1 7.5 Tf [(topics, such as mixed and generalized linear models, Bayesian linear models, two-way models with )] TJ ET
BT 34.016 398.261 Td /F1 7.5 Tf [(empty cells, geometry of least squares, vector-matrix calculus, simultaneous inference, and logistic and )] TJ ET
BT 34.016 389.103 Td /F1 7.5 Tf [(nonlinear regression. Algebraic, geometrical, frequentist, and Bayesian approaches to both the inference )] TJ ET
BT 34.016 379.946 Td /F1 7.5 Tf [(of linear models and the analysis of variance are also illustrated. Through the expansion of relevant )] TJ ET
BT 34.016 370.788 Td /F1 7.5 Tf [(material and the inclusion of the latest technological developments in the field, this book provides readers )] TJ ET
BT 34.016 361.631 Td /F1 7.5 Tf [(with the theoretical foundation to correctly interpret computer software output as well as effectively use, )] TJ ET
BT 34.016 352.473 Td /F1 7.5 Tf [(customize, and understand linear models. This modern Second Edition features: New chapters on )] TJ ET
BT 34.016 343.316 Td /F1 7.5 Tf [(Bayesian linear models as well as random and mixed linear models Expanded discussion of two-way )] TJ ET
BT 34.016 334.158 Td /F1 7.5 Tf [(models with empty cells Additional sections on the geometry of least squares Updated coverage of )] TJ ET
BT 34.016 325.001 Td /F1 7.5 Tf [(simultaneous inference The book is complemented with easy-to-read proofs, real data sets, and an )] TJ ET
BT 34.016 315.843 Td /F1 7.5 Tf [(extensive bibliography. A thorough review of the requisite matrix algebra has been addedfor transitional )] TJ ET
BT 34.016 306.686 Td /F1 7.5 Tf [(purposes, and numerous theoretical and applied problems have been incorporated with selected )] TJ ET
BT 34.016 297.528 Td /F1 7.5 Tf [(answers provided at the end of the book. A related Web site includes additional data sets and SAS® )] TJ ET
BT 34.016 288.371 Td /F1 7.5 Tf [(code for all numerical examples. Linear Model in Statistics, Second Edition is a must-have book for )] TJ ET
BT 34.016 279.213 Td /F1 7.5 Tf [(courses in statistics, biostatistics, and mathematics at the upper-undergraduate and graduate levels. It is )] TJ ET
BT 34.016 270.056 Td /F1 7.5 Tf [(also an invaluable reference for researchers who need to gain a better understanding of regression and )] TJ ET
BT 34.016 260.898 Td /F1 7.5 Tf [(analysis of variance.)] TJ ET
BT 34.016 251.741 Td /F1 7.5 Tf [(Hierarchical Linear Models)] TJ ET
BT 122.786 251.741 Td /F1 7.5 Tf [( Anthony S. Bryk 1992 Hierarchical Linear Models launches a new Sage )] TJ ET
BT 34.016 242.583 Td /F1 7.5 Tf [(series, Advanced Quantitative Techniques in the Social Sciences. This introductory text explicates the )] TJ ET
BT 34.016 233.426 Td /F1 7.5 Tf [(theory and use of hierarchical linear models \(HLM\) through rich, illustrative examples and lucid )] TJ ET
BT 34.016 224.268 Td /F1 7.5 Tf [(explanations. The presentation remains reasonably nontechnical by focusing on three general research )] TJ ET
BT 34.016 215.111 Td /F1 7.5 Tf [(purposes - improved estimation of effects within an individual unit, estimating and testing hypotheses )] TJ ET
BT 34.016 205.953 Td /F1 7.5 Tf [(about cross-level effects, and partitioning of variance and covariance components among levels. This )] TJ ET
BT 34.016 196.796 Td /F1 7.5 Tf [(innovative volume describes use of both two and three level models in organizational research, studies of )] TJ ET
BT 34.016 187.638 Td /F1 7.5 Tf [(individual development and meta-analysis applications, and concludes with a formal derivation of the )] TJ ET
BT 34.016 178.481 Td /F1 7.5 Tf [(statistical methods used in the book.)] TJ ET
BT 34.016 169.323 Td /F1 7.5 Tf [(Generalized Linear and Nonlinear Models for Correlated Data)] TJ ET
BT 238.263 169.323 Td /F1 7.5 Tf [( Edward F. Vonesh 2014-07-07 Edward )] TJ ET
BT 34.016 160.166 Td /F1 7.5 Tf [(Vonesh's Generalized Linear and Nonlinear Models for Correlated Data: Theory and Applications Using )] TJ ET
BT 34.016 151.008 Td /F1 7.5 Tf [(SAS is devoted to the analysis of correlated response data using SAS, with special emphasis on )] TJ ET
BT 34.016 141.851 Td /F1 7.5 Tf [(applications that require the use of generalized linear models or generalized nonlinear models. Written in )] TJ ET
BT 34.016 132.693 Td /F1 7.5 Tf [(a clear, easy-to-understand manner, it provides applied statisticians with the necessary theory, tools, and )] TJ ET
BT 34.016 123.536 Td /F1 7.5 Tf [(understanding to conduct complex analyses of continuous and/or discrete correlated data in a )] TJ ET
BT 34.016 114.378 Td /F1 7.5 Tf [(longitudinal or clustered data setting. Using numerous and complex examples, the book emphasizes real-)] TJ ET
BT 34.016 105.221 Td /F1 7.5 Tf [(world applications where the underlying model requires a nonlinear rather than linear formulation and )] TJ ET
BT 34.016 96.063 Td /F1 7.5 Tf [(compares and contrasts the various estimation techniques for both marginal and mixed-effects models. )] TJ ET
BT 34.016 86.906 Td /F1 7.5 Tf [(The SAS procedures MIXED, GENMOD, GLIMMIX, and NLMIXED as well as user-specified macros will )] TJ ET
BT 34.016 77.748 Td /F1 7.5 Tf [(be used extensively in these applications. In addition, the book provides detailed software code with most )] TJ ET
BT 34.016 68.591 Td /F1 7.5 Tf [(examples so that readers can begin applying the various techniques immediately. This book is part of the )] TJ ET
BT 34.016 59.433 Td /F1 7.5 Tf [(SAS Press program.)] TJ ET
BT 34.016 50.276 Td /F1 7.5 Tf [(Univariate & Multivariate General Linear Models)] TJ ET
BT 193.233 50.276 Td /F1 7.5 Tf [( Neil H. Timm 1997 Researchers and students of applied )] TJ ET
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BT 34.016 553.938 Td /F1 7.5 Tf [(statistics and the social and behavioral sciences will find this book indispensable for understanding both )] TJ ET
BT 34.016 544.781 Td /F1 7.5 Tf [(general linear model theory and application. The model is discussed using a general framework, enabling )] TJ ET
BT 34.016 535.623 Td /F1 7.5 Tf [(students to appreciate fully the generality of the model. The authors present and explain in detail actual )] TJ ET
BT 34.016 526.466 Td /F1 7.5 Tf [(SAS code for analyzing general linear model applications. Additional topics include the following: ANOVA )] TJ ET
BT 34.016 517.308 Td /F1 7.5 Tf [(and MANOVA models with and without restrictions, the GMANOVA model, the mixed MANOVA-)] TJ ET
BT 34.016 508.151 Td /F1 7.5 Tf [(GMANOVA model, the sum-of-profiles model, the SUR model, the CGMANOVA model, HLM, mixed )] TJ ET
BT 34.016 498.993 Td /F1 7.5 Tf [(models, and the analysis of repeated measures with missing data.)] TJ ET
BT 34.016 489.836 Td /F1 7.5 Tf [(Univariate and Multivariate General Linear Models)] TJ ET
BT 200.741 489.836 Td /F1 7.5 Tf [( Kevin Kim 2006-10-11 Reviewing the theory of the )] TJ ET
BT 34.016 480.678 Td /F1 7.5 Tf [(general linear model \(GLM\) using a general framework, Univariate and Multivariate General Linear )] TJ ET
BT 34.016 471.521 Td /F1 7.5 Tf [(Models: Theory and Applications with SAS, Second Edition presents analyses of simple and complex )] TJ ET
BT 34.016 462.363 Td /F1 7.5 Tf [(models, both univariate and multivariate, that employ data sets from a variety of disciplines, such as the )] TJ ET
BT 34.016 453.206 Td /F1 7.5 Tf [(social and behavioral)] TJ ET
BT 34.016 444.048 Td /F1 7.5 Tf [(Statistics in Industry)] TJ ET
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34.016 442.811 m 100.706 442.811 l S
BT 100.706 444.048 Td /F1 7.5 Tf [( Rao khattree 2003-07-18 This volume presents an exposition of topics in industrial )] TJ ET
BT 34.016 434.891 Td /F1 7.5 Tf [(statistics. It serves as a reference for researchers in industrial statistics/industrial engineering and a )] TJ ET
BT 34.016 425.733 Td /F1 7.5 Tf [(source of information for practicing statisticians/industrial engineers. A variety of topics in the areas of )] TJ ET
BT 34.016 416.576 Td /F1 7.5 Tf [(industrial process monitoring, industrial experimentation, industrial modelling and data analysis are )] TJ ET
BT 34.016 407.418 Td /F1 7.5 Tf [(covered and are authored by leading researchers or practitioners in the particular specialized topic. )] TJ ET
BT 34.016 398.261 Td /F1 7.5 Tf [(Targeting the audiences of researchers in academia as well as practitioners and consultants in industry, )] TJ ET
BT 34.016 389.103 Td /F1 7.5 Tf [(the book provides comprehensive accounts of the relevant topics. In addition, whenever applicable ample )] TJ ET
BT 34.016 379.946 Td /F1 7.5 Tf [(data analytic illustrations are provided with the help of real world data.)] TJ ET
BT 36.266 351.550 Td /F1 8.0 Tf [(univariate-and-multivariate-general-linear-)] TJ ET
BT 36.266 341.782 Td /F1 8.0 Tf [(models-theory-and-applications-with-sas-)] TJ ET
BT 36.266 332.014 Td /F1 8.0 Tf [(second-edition-statistics-a-series-of-textbooks-)] TJ ET
BT 36.266 322.246 Td /F1 8.0 Tf [(and-monographs)] TJ ET
BT 213.424 341.989 Td /F1 8.0 Tf [(Downloaded from )] TJ ET
BT 278.336 341.782 Td /F1 8.0 Tf [(siamguru.com)] TJ ET
BT 328.568 341.989 Td /F1 8.0 Tf [( on September )] TJ ET
BT 319.664 332.221 Td /F1 8.0 Tf [(27, 2022 by guest)] TJ ET
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