Java SAS for Mixed Models 2nd ed. (1590475003)

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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 SAS9. 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

Book Info:

Published in 2006

Author Oliver, Ph.D

ISBN 1590475003 Size 4.90MB

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