Neuware - �bersichtlich und gut verst�ndlich erl�utert dieses Buch multivariate statistische Methoden anhand praxisnaher Beispiele und Datens�tze. Der Schwerpunkt liegt darauf, den Leser zur sinnvollen Interpretation von Datenmaterial zu bef�higen. Viel Raum wird der Diskussion von SAS-Code und dem zugeh�rigen Output gegeben, wobei die geeigneten SAS-Prozeduren an Beispielproblemen anschaulich erkl�rt werden.

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Bibliographic Details

Title: SAS Multivariate Data Reduction
Publisher: Wiley Aug 2000
Publication Date: 2000
Language: English
ISBN 10: 0471323004
ISBN 13: 9780471323006
Binding: Taschenbuch
Condition: Neu
Dimensions: 280 millimeters width by 210 millimeters height by 31 millimeters depth
Weight: 1408 grams

About this title

Synopsis

Easy to read and comprehensive, this book presents descriptive multivariate (DMV) statistical methods using real-world problems and data sets. It offers a unique approach to integrating statistical methods, various kinds of advanced data analyses, and applications of the popular SAS software aids. Emphasis is placed on the correct interpretation of output to draw meaningful conclusions in a variety of disciplines and industries.

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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