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SAS for Mixed Models, Second Edition

The indispensable, up-to-date guide to mixed models using SAS. Discover the latest capabilities available for a variety of applications featuring the MIXED, GLIMMIX, and NLMIXED procedures in this valuable edition of the comprehensive mixed models guide for data analysis, completely revised and updated for SAS??9. The theory underlying the models, the forms of the models for various applications, and a wealth of examples from different fields of study are integrated in the discussions of these models:
random effect only and random coefficients models
split-plot, multilocation, and repeated measures models
hierarchical models with nested random effects
analysis of covariance models
spatial correlation models
generalized linear mixed models
nonlinear mixed models
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SAS for Mixed Models, Second Edition

Pages: 840, Edition: 2nd, Paperback, SAS Publishing

  • $68.35
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ProductReviews95/100 (7 Reviews)

Recent Reviews

4/5
From: Amazon
Posted: Jun-17-2009
Excellent for use and reference.

This book is excellent for showing the basic theory and practical examples of mixed models and how they can be easily implemented using SAS. I think there should have been a chapter on other non-statistical issues concerning how models...

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5/5
From: Amazon
Posted: Feb-17-2009
SAS Book

This book was very helpful in my class. It arrived at a good speed.

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5/5
From: Amazon
Posted: Jan-14-2009
sas, mixed model regression

might as well buy it, everybody else does ...has program & data disk included which is nice

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5/5
From: Amazon
Posted: Dec-27-2008
A very informative book!

I actually did the price hunting and bought this book for my wifee. She said that she was pleased with it and often uses it as a 'consulting' book for her job. Sorry I can't help much more here since I don't work with it and she is not...

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Selected Reviews

4/5
From: Amazon
Posted: Jun-17-2009
Excellent for use and reference.

This book is excellent for showing the basic theory and practical examples of mixed models and how they can be easily implemented using SAS. I think there should have been a chapter on other non-statistical issues concerning how models...

read full review | report as inappropriate
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