书名：Mixed Models - Theory and Applications
作者：Eugene Demidenko
http://www.amazon.com/Mixed-Models-Applications-Probability-Statistics/dp/0471601616/ref=sr_1_1?ie=UTF8&s=books&qid=1251540898&sr=1-1
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该书好评如潮
Review
"…this book will serve to greatly complement the growing number of texts dealing with mixed models and I highly recommend including it in one's personal library." (Journal of the American Statistical Association, December 2006)
"…an excellent book and it thoroughly covers new developments in mixed models in addition to the classical mixed model approaches." (Biometrics, March 2006) "Statisticians would like very much to read this book." (Journal of Statistical Computation and Simulation, January 2006) "…I recommend this book and congratulate the author for his dedication…" (Annals of Biomedical Engineering, October 2005) "…has a wealth of information. I recommend this book to anyone working in mixed models." (Journal of Biopharmaceutical Statistics, July/August 2005) "…a very welcome addition and…a good companion to other mixed models texts…" (Statistical Methods in Medical Research, Vol. 14, 2005) "…intended for professionals and students in a broad range of fields such as cancer research, computer science, engineering and industry." (Zentralblatt Math, Vol.1055, No.06, 2005) "The book is useful for statisticians who are interested in mathematical statistics and those who are interested in applications." (Mathematical Reviews, 2005e) "Written with the statistician/mathematician in mind, the computer engineer will find the content also useful." (E-STREAMS, February 2005)

Product Description
This timely and state-of-the-art topic is covered comprehensively in this book. Providing a complete and in-depth mathematical coverage of the topic - linear, generalized linear, and nonlinear mixed models, along with diagnostics - the book has dual appeal as both a graduate-level text and a reference. Special attention is given to algorithms and their implementations and several appendices make the text self-contained.