Multivariate Data Reduction and Discrimination with SAS Software
Khattree, Ravindra
ISBN 10: 0471323004 ISBN 13: 9780471323006
Published by Wiley-SAS, 2000
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About this Item
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Ships in a BOX from Central Missouri! May not include working access code. Will not include dust jacket. Has used sticker(s) and some writing and/or highlighting. UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes). Seller Inventory # 000482712U
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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Bibliographic Details
Title: Multivariate Data Reduction and ...
Publisher: Wiley-SAS
Publication Date: 2000
Binding: paperback
Condition: Good
Edition: 1st Edition.
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Published by
John Wiley & Sons Inc, New York, 2000
ISBN 10: 0471323004
ISBN 13: 9780471323006
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Published by
John Wiley & Sons Inc, New York, 2000
ISBN 10: 0471323004
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Paperback. Condition: new. 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Seller Inventory # 9780471323006
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