The book is aimed at students, researchers and other practitioners who are interested in using mixed models for statistical data analysis. The book is suitable for a course in a M.S. program in statistics, provided that the section of further results and technical notes in each of the first four chapters is skipped. If these four sections are included, the book may be used for a course in a Ph.D. program in statistics. A first course in mathematical statistics, the ability to use computers for data analysis, and familiarity with calculus and linear algebra are prerequisites. Additional statistical courses such as regression analysis and a good knowledge about matrices would be helpful.
About the Author:
Jiming Jiang is Professor of Statistics and Director of the Statistical Laboratory at UC-Davis
The book is aimed at students, researchers and other practitioners who are interested in using mixed models for statistical data analysis. The book is suitable for a course in a M.S. program in statistics, provided that the section of further results and technical notes in each of the first four chapters is skipped. If these four sections are included, the book may be used for a course in a Ph.D. program in statistics. A first course in mathematical statistics, the ability to use computers for data analysis, and familiarity with calculus and linear algebra are prerequisites. Additional statistical courses such as regression analysis and a good knowledge about matrices would be helpful.
About the Author:
Jiming Jiang is Professor of Statistics and Director of the Statistical Laboratory at UC-Davis

Linear and Generalized Linear Mixed Models and Their Applications
257
Linear and Generalized Linear Mixed Models and Their Applications
257Hardcover(2007)
Product Details
ISBN-13: | 9780387479415 |
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Publisher: | Springer New York |
Publication date: | 03/09/2007 |
Series: | Springer Series in Statistics |
Edition description: | 2007 |
Pages: | 257 |
Product dimensions: | 6.10(w) x 9.25(h) x 0.03(d) |