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Übersichtlich und gut verständlich erläutert dieses Buch multivariate statistische Methoden anhand praxisnaher Beispiele und Datensätze. Der Schwerpunkt liegt darauf, den Leser zur sinnvollen Interpretation von Datenmaterial zu befähigen. Viel Raum wird der Diskussion von SAS-Code und dem zugehörigen Output gegeben, wobei die geeigneten SAS-Prozeduren an Beispielproblemen anschaulich erklärt werden.
List of contents
From the contents:
Basic Concepts for Multivariate Statistics.
Principal Component Analysis.
Canonical Correlation Analysis.
Factor Analysis.
Discriminant Analysis.
Cluster Analysis.
Correspondence Analysis.
Appendix.
References.
Index.
About the author
Ravindra Khattree is an Indian-American statistician and professor of statistics at Oakland University. His contribution to the Fountain-Khattree-Peddada Theorem in Pitman measure of closeness is one of the important results of his work. Khattree is the coauthor of two books and has coedited two volumes. Dayanand N. Naik is the author of Multivariate Data Reduction and Discrimination with SAS Software, published by Wiley.
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"...a core or supplementary text for graduate or senior undergraduate students, and a reference for researchers and practitioners." (SciTech Book News, Vol. 24, No. 4, December 2000)
