Huberty / Olejnik | Applied MANOVA and Discriminant Analysis | E-Book | sack.de
E-Book

E-Book, Englisch, 528 Seiten, E-Book

Reihe: Wiley Series in Probability and Statistics

Huberty / Olejnik Applied MANOVA and Discriminant Analysis


2. Auflage 2007
ISBN: 978-0-471-78946-8
Verlag: John Wiley & Sons
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 528 Seiten, E-Book

Reihe: Wiley Series in Probability and Statistics

ISBN: 978-0-471-78946-8
Verlag: John Wiley & Sons
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)



A complete introduction to discriminant analysis--extensivelyrevised, expanded, and updated
This Second Edition of the classic book, AppliedDiscriminant Analysis, reflects and references current usagewith its new title, Applied MANOVA and DiscriminantAnalysis. Thoroughly updated and revised, this book continuesto be essential for any researcher or student needing to learn tospeak, read, and write about discriminant analysis as well asdevelop a philosophy of empirical research and data analysis. Itsthorough introduction to the application of discriminant analysisis unparalleled.
Offering the most up-to-date computer applications, references,terms, and real-life research examples, the Second Editionalso includes new discussions of MANOVA, descriptive discriminantanalysis, and predictive discriminant analysis. Newer SAS macrosare included, and graphical software with data sets and programsare provided on the book's related Web site.
The book features:
* Detailed discussions of multivariate analysis of variance andcovariance
* An increased number of chapter exercises along with selectedanswers
* Analyses of data obtained via a repeated measures design
* A new chapter on analyses related to predictive discriminantanalysis
* Basic SPSS(r) and SAS(r) computer syntax and output integratedthroughout the book
Applied MANOVA and Discriminant Analysis enables thereader to become aware of various types of research questions usingMANOVA and discriminant analysis; to learn the meaning of thisfield's concepts and terms; and to be able to design a study thatuses discriminant analysis through topics such as one-factorMANOVA/DDA, assessing and describing MANOVA effects, and deletingand ordering variables.

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CARL J. HUBERTY, PhD, is Professor Emeritus in theDepartment of Educational Psychology and Instructional Technologyat The University of Georgia. He received his PhD in statisticalmethods from The University of Iowa and has written chapters inmany books throughout his career.
STEPHEN OLEJNIK, PhD, is Professor in the Department ofEducational Psychology and Instructional Technology at TheUniversity of Georgia. He received his PhD in educationalpsychology, applied statistics, and research design from MichiganState University.



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