Libros de Aplicaciones, página 2 de 125

Discover the power of mixed models with SAS Mixed modelsnow the mainstream vehicle for analyzing most research dataare part of the core curriculum in most masters degree programs in statistics and data science In a single volume this book updates both SAS for Linear Models Fourth Edition and SAS for Mixed Models Second Edition covering the latest capabilities for a variety of applications featuring the SAS GLIMMIX and MIXED procedures Written for instructors of statistics graduate students scientists statisticians in business or government and other decision makers SAS for Mixed Models is the perfect entry for those with a background in twoway analysis of variance regression and intermediatelevel use of SAS This book expands coverage of mixed models for nonnormal data and mixedmodelbased precision and power analysis including the following topics Randomeffectonly and randomcoefficients models Multilevel splitplot multilocation and repeated measures models Hierarchical models with nested random effects Analysis of covariance models Generalized linear mixed models This book is part of the SAS Press program