SAS for mixed models:

Discover the power of mixed models with SAS. Mixed models-now the mainstream vehicle for analyzing most research data-are part of the core curriculum in most master's degree programs in statistics and data science. In a single volume, this book updates both SAS® for Linear Models, Fourth Editio...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Beteiligte Personen: Stroup, Walter W. (VerfasserIn), Milliken, George A. 1943- (VerfasserIn), Claassen, Elizabeth A. (VerfasserIn), Wolfinger, Russell Dean (VerfasserIn)
Körperschaft: Safari, an O'Reilly Media Company (MitwirkendeR)
Format: Elektronisch E-Book
Sprache:Englisch
Veröffentlicht: Cary, NC SAS Institute 2018
Ausgabe:First edition.
Schlagwörter:
Links:https://learning.oreilly.com/library/view/-/9781635261523/?ar
Zusammenfassung:Discover the power of mixed models with SAS. Mixed models-now the mainstream vehicle for analyzing most research data-are part of the core curriculum in most master's 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 two-way analysis of variance, regression, and intermediate-level use of SAS. This book expands coverage of mixed models for non-normal data and mixed-model-based precision and power analysis, including the following topics: Random-effect-only and random-coefficients models Multilevel, split-plot, 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.
Beschreibung:Includes bibliographical references, and index
Umfang:1 Online-Ressource (608 Seiten) illustrations
ISBN:9781635261523