SAS for Mixed Models
Ramon C. Littell, Ph.D., George A. Milliken, Ph.D, Walter W. Stroup, Russell D. Wolfinger, Oliver Schabenberber
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
類別:
年:
2006
版本:
2nd ed
出版商:
SAS Institute, Inc
語言:
english
頁數:
834
ISBN 10:
1590475003
ISBN 13:
9781590475003
文件:
PDF, 8.31 MB
IPFS:
,
english, 2006