Published 2002
by J. Wiley in New York .
Written in
Edition Notes
| Statement | Alvin C. Rencher. |
| Series | Wiley series in probability and mathematical statistics |
| Classifications | |
|---|---|
| LC Classifications | QA278 .R45 2002 |
| The Physical Object | |
| Pagination | xxii, 708 p. : |
| Number of Pages | 708 |
| ID Numbers | |
| Open Library | OL3951786M |
| ISBN 10 | 0471418897 |
| LC Control Number | 2001046735 |
Methods of Multivariate Analysis (Wiley Series in Probability and Statistics Book ) - Kindle edition by Rencher, Alvin C., Christensen, William F.. Download it once and read it on your Kindle device, PC, phones or tablets. Use features like bookmarks, note taking and highlighting while reading Methods of Multivariate Analysis (Wiley Series in Probability and Statistics Book ).4/4(10). Methods of multivariate analysis / Alvin C. Rencher.—2nd ed. p. cm. — (Wiley series in probability and mathematical statistics) “A Wiley-Interscience publication.” Includes bibliographical references and index. ISBN (cloth) 1. Multivariate analysis. I. Title. . Methods of Multivariate Analysis provides an authoritative reference for statistics students as well as for practicing scientists and clinicians. Reviews " a systematic, well-written text there is much practical wisdom in this book that is hard to find elsewhere. Amstat News asked three review editors to rate their top five favorite books in the September issue. Methods of Multivariate Analysis was among those chosen. When measuring several variables on a complex experimental unit, it is often necessary to analyze the variables simultaneously, rather than isolate them and consider them individually.
Get up-to-speed on the latest methods of multivariate statistics Multivariate statistical methods provide a powerful tool for analyzing data when observations are taken over a period of time on the same subject. With the advent of fast and efficient computers and the availability of computer packages such as S-plus and SAS, multivariate methods once too complex to tackle are now within reach. Requiring only a basic background in statistics, Methods of Multivariate Analysis, Third Edition is an excellent book for courses on multivariate analysis and applied statistics at the upper-undergraduate and graduate levels. The book also serves as a valuable reference for both statisticians and researchers across a wide variety of disciplines. Perhaps "Applied Multivariate Data Analysis", 2nd edition, by Everitt, B. and Dunn, G. (), published by Arnold. [Roger Johnson] Rencher's Methods of Multivariate Analysis is a great resource. I think a strong undergraduate student could grasp the material. [Philip Yates]. I'm fond of Rencher's approach. ISI Short Book Reviews, Vol. 23/2, August "This textbook is another comprehensive work on applied multivariate analysis. Basic theory and methods are reviewed and illustrated by a number of examples and practices. The author has written a useful textbook combining most of general theory and practice of multivariate data : Springer-Verlag New York.
Multivariate statistical methods are used to analyze the joint behavior of more than one random variable. There are a wide range of mulitvariate techniques available, as may be seen from the different statistical method examples below. These techniques can be done using Statgraphics Centurion 18's multivariate statistical analysis. Methods of multivariate analysis / Alvin C. Rencher.—2nd ed. p. cm. — (Wiley series in probability and mathematical statistics) “A Wiley-Interscience publication.” Includes bibliographical references and index. ISBN (cloth) 1. Multivariate analysis. I. Title. File Size: 3MB. Amstat News asked three review editors to rate their top five favorite books in the September s of Multivariate Analysis was among those chosen. When measuring several variables on a complex experimental unit, it is often necessary to analyze the variables simultaneously, rather than isolate them and consider them individually.4/5(16). Multivariate methods are now widely used in the quantitative sciences as well as in statistics because of the ready availability of computer packages for performing the calculations. While access to suitable computer software is essential to using multivariate methods, using the software still requires a working knowledge of these methods and how they can be ariate Statistical Reviews: 1.
