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Author Littell, Ramon C.

Title SAS for mixed models / by Ramon C. Littell, George A. Milliken, Walter W. Stroup, Russell D. Wolfinger, Oliver Schabenberger. [O'Reilly electronic resource]

Edition Second edition.
Publication Info. Cary, NC : SAS Institute, 2007.
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Description 1 online resource (828 pages) : illustrations
text file
71.99
Bibliography Includes bibliographical references, and index.
Contents Introduction -- Randomized block designs -- Random effects models -- Multi-factor treatment designs with multiple error terms -- Analysis of repeated measures data -- Best linear unbiased prediction -- Analysis of covariance -- Random coefficient models -- Heterogeneous variance models -- Mixed model diagnostics -- Spatial variability -- Power calculations for mixed models -- Some Bayesian approaches to mixed models -- Generalized linear mixed models -- Nonlinear mixed models -- Case studies -- Appendix 1. Linear mixed model theory -- Appendix 2. Data sets.
Summary The subject of mixed linear models is taught in graduate-level statistics courses and is familiar to most statisticians. During the past 10 years, use of mixed model methodology has expanded to nearly all areas of statistical applications. It is routinely taught and applied even in disciplines outside traditional statistics. Nonetheless, many persons who are engaged in analyzing mixed model data have questions about the appropriate implementation of the methodology. Also, even users who studied the topic 10 years ago may not be aware of the tremendous new capabilities available for applications of mixed models. Like the first edition, this second edition presents mixed model methodology in a setting that is driven by applications. The scope is both broad and deep. Examples are included from numerous areas of application and range from introductory examples to technically advanced case studies. The book is intended to be useful to as diverse an audience as possible, although persons with some knowledge of analysis of variance and regression analysis will benefit most.
Subject SAS (Computer file)
SAS (Computer file)
Mathematical statistics -- Data processing.
Electronic data processing.
Computer science.
Statistics.
Electronic Data Processing
Statistique mathématique -- Informatique.
Informatique.
Statistique.
statistics.
Statistics
Mathematical statistics -- Data processing
Electronic data processing
Computer science
Genre Instructional and educational works.
Matériel d'éducation et de formation.
Added Author Milliken, George A., 1943- author.
Stroup, Walter W. (Walter Whitney), author.
Wolfinger, Russell Dean. author.
Schabenberger, Oliver. author.
Safari, an O'Reilly Media Company.
ISBN 9781599940786 (electronic bk.)
1599940787 (electronic bk.)
Standard No. 9781590475003
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