This set contains: 9780471469438 Regression and ANOVA: An Integrated Approach Using SAS(R) Software by Keith E. Muller, Bethel A. Fetterman and 9780471370383 Applied Statistics: Analysis of Variance and Regression, Third Edition by Ruth M. Mickey, Olive Jean Dunn, Virginia A. Clark.

Regression and ANOVA: An Integrated Approach Using SAS Software + Applied Statistics: Analysis of Variance and Regression, Third Edition Set

Science & Math

Dunn, Olive Jean

Clark, Virginia A.

Muller, Keith E.

Fetterman, Bethel A.

Mickey, Ruth M.

Mathematics

Wiley-Interscience

A precise and accessible presentation of linear model theory, illustrated with data examples Statisticians often use linear models for data analysis and for developing new statistical methods. Most books on the subject have historically discussed univariate, multivariate, and mixed linear models separately, whereas Linear Model Theory: Univariate, Multivariate, and Mixed Models presents a unified treatment in order to make clear the distinctions among the three classes of models. Linear Model Theory: Univariate, Multivariate, and Mixed Models begins with six chapters devoted to providing brief and clear mathematical statements of models, procedures, and notation. Data examples motivate and illustrate the models. Chapters 7-10 address distribution theory of multivariate Gaussian variables and quadratic forms. Chapters 11-19 detail methods for estimation, hypothesis testing, and confidence intervals. The final chapters, 20-23, concentrate on choosing a sample size. Substantial sets of excercises of varying difficulty serve instructors for their classes, as well as help students to test their own knowledge. The reader needs a basic knowledge of statistics, probability, and inference, as well as a solid background in matrix theory and applied univariate linear models from a matrix perspective. Topics covered include: <ul>
<li>A review of matrix algebra for linear models</li> <li>The general linear univariate model</li> <li>The general linear multivariate model</li> <li>Generalizations of the multivariate linear model</li> <li>The linear mixed model</li> <li>Multivariate distribution theory</li> <li>Estimation in linear models</li> <li>Tests in Gaussian linear models</li> <li>Choosing a sample size in Gaussian linear models</li> </ul>
Filling the need for a text that provides the necessary theoretical foundations for applying a wide range of methods in real situations, Linear Model Theory: Univariate, Multivariate, and Mixed Models centers on linear models of interval scale responses with finite second moments. Models with complex predictors, complex responses, or both, motivate the presentation.

Linear Model Theory: Univariate, Multivariate, and Mixed Models

Stewart, Paul W.

The information contained in this book has served as the basis for a graduate-level biostatistics class at the University of North Carolina at Chapel Hill. The book focuses in the General Linear Model (GLM) theory, stated in matrix terms, which provides a more compact, clear, and unified presentation of regression of ANOVA than do traditional sums of squares and scalar equations. The book contains a balanced treatment of regression and ANOVA yet is very compact. Reflecting current computational practice, most sums of squares formulas and associated theory, especially in ANOVA, are not included. The text contains almost no proofs, despite the presence of a large number of basic theoretical results. Many numerical examples are provided, and include both the SAS code and equivalent mathematical representation needed to produce the outputs that are presented. All exercises involve only "real" data, collected in the course of scientific research. The book is divided into sections covering the following topics: * Basic Theory * Multiple Regression * Model Building and Evaluation * ANOVA * ANCOVA

Regression and ANOVA: An Integrated Approach Using SAS Software

Wiley-SAS

This bestseller will help you learn regression-analysis methods that you can apply to real-life problems. It highlights the role of the computer in contemporary statistics with numerous printouts and exercises that you can solve using the computer. The authors continue to emphasize model development, the intuitive logic and assumptions that underlie the techniques covered, the purposes, advantages, and disadvantages of the techniques, and valid interpretations of those techniques.

Applied Regression Analysis and Other Multivariable Methods

Kleinbaum, David G.

Kupper, Lawrence L.

Nizam, Azhar

Duxbury Press

Prepare for exams and succeed in your mathematics course with this comprehensive solutions manual! Featuring worked out-solutions to the problems in APPLIED REGRESSION ANALYSIS AND OTHER MULTIVARIABLE METHODS, 4th Edition, this manual shows you how to approach and solve problems using the same step-by-step explanations found in your textbook examples.

Student Solutions Manual for Kleinbaum/Kupper/Muller's Applied Regression Analysis and Multivariable Methods, 4th

Regression students will appreciate this best-seller's modern, practical approach and its use of real-life problems. The third edition offers a significant shift in emphasis from calculation to interpretation, by replacing computational formulas with computer printouts in SAS. It highlights the role of the computer in contemporary statistics with numerous printouts and exercises that can be solved with the computer. Appropriate for statistics, biostatistics, mathematics, psychology, sociology, business, and industrial engineering students or anyone who intends to use regression analysis in their work, this text offers a traditional structure with a modern flavor. The authors emphasize model development; the intuitive logic and assumptions that underlie the techniques covered as well as the purposes, advantages and disadvantages, and valid interpretations of those techniques.

Contains complete solutions for exercises in the text.

Student Solutions Manual for Kleinbaum/Kupper/Muller/Nizam’s Applied Regression Analysis and Multivariable Methods

* An introductory text for undergraduates, graduates, and working professionals; emphasizes applications in public health, biology, and the social and behavioral sciences.

Rosenberg, Eli

Brooks/Cole

See the best price to sell, buy, or rent books by Muller, Keith E.. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Books by Muller, Keith E.

See the best price to sell, buy, or rent books by Muller, Keith E.. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Regression and ANOVA: An Integrated Approach Using SAS Software + Applied Statistics: Analysis of Variance and Regression, Third Edition Set

Linear Model Theory: Univariate, Multivariate, and Mixed Models

Regression and ANOVA: An Integrated Approach Using SAS Software

Applied Regression Analysis and Other Multivariable Methods

Student Solutions Manual for Kleinbaum/Kupper/Muller's Applied Regression Analysis and Multivariable Methods, 4th

Applied Regression Analysis and Other Multivariable Methods

Student Solutions Manual for Kleinbaum/Kupper/Muller/Nizam’s Applied Regression Analysis and Multivariable Methods

Applied Regression Analysis and Other Multivariable Methods

Applied Regression Analysis and Other Multivariable Methods