Paperback. 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. This text presents multivariate (MV) statistical methods using real-life problems and data sets. The emphasis is on correct interpretation of output to draw meaningful conclusions. Extensive SAS codes and corresponding output are presented in combination with sample problems. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

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Bibliographic Details

Title: Multivariate Data Reduction and Discrimination with SAS Software (Paperback)
Publisher: John Wiley & Sons Inc, New York
Publication Date: 2000
Language: English
ISBN 10: 0471323004
ISBN 13: 9780471323006
Binding: Paperback
Condition: new

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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