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Regression and ANOVA
Keith E. Muller
€ 156.20
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Description for Regression and ANOVA
Paperback. This text focuses on the general linear model (GLM) theory, stated in matrix terms, which provides a more compact, clear and unified presentation of regression and ANOVA than do traditional sums of squares and scalar equations. Num Pages: 592 pages, black & white illustrations. BIC Classification: PBK; PBT; UFM. Category: (P) Professional & Vocational. Dimension: 281 x 212 x 31. Weight in Grams: 1328.
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
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
Product Details
Format
Paperback
Publication date
2003
Publisher
John Wiley and Sons Ltd United States
Number of pages
592
Condition
New
Number of Pages
592
Place of Publication
New York, United States
ISBN
9780471469438
SKU
V9780471469438
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-2
About Keith E. Muller
Keith E. Muller, Ph.D., is Associate Professor of Biostatistics at the University of North Carolina at Chapel Hill. He teaches classes and seminars in the theory and practice of univariate and multivariate linear models with Gaussian errors. A SAS user since 1978, he is best known for his contributions to theory and practice of sample size and power calculations, including SAS/IML programs for power in repeated measures. Bethel A. Fetterman, M.S., is Director of Clinical Data Processing and Analysis at PharmaLinkFHI in Research Triangle Park, North Carolina. She is currently on leave from the doctoral program in Biostatistics at the University of North Carolina at Chapel Hill. A SAS user since 1989, she uses SAS software in designing, managing, analyzing, and reporting clinical trials of new pharmaceutical.
Reviews for Regression and ANOVA
“…very useful to applied scientists and for graduate level courses in areas of non-mathematical statistics…” (Zentralblatt Math, Vol.1039, No.8, 2004)