Methods of Multivariate Analysis (Wiley Series in Probability and Statistics)
Author: Alvin C. Rencher | Publisher: Wiley-Interscience | Category: Statistics | Language: English | Page: 738 | ISBN: 0471418897 | ISBN13: 9780471418894 |
Description: Amstat News asked three review editors to rate their top five favorite books in the September 2003 issue. Methods of Mivariate Analysis was among those chosen.
When measuring several variables on a complex experimental unit, it is often necessary to analyze the variables simaneously, rather than isolate them and consider them individually. Mivariate analysis enables researchers to explore the joint performance of such variables and to determine the effect of each variable in the presence of the others. The Second Edition of Alvin Rencher’s Methods of Mivariate Analysis provides students of all statistical backgrounds with both the fundamental and more sophisticated skills necessary to master the discipline.
To illustrate mivariate applications, the author provides examples and exercises based on fifty-nine real data sets from a wide variety of scientific fields. Rencher takes a “methods” approach to his subject, with an emphasis on how students and practitioners can employ mivariate analysis in real-life situations. The Second Edition contains revised and updated chapters from the critically acclaimed First Edition as well as brand-new chapters on:
– Cluster analysis
– Midimensional scaling
– Correspondence analysis
Each chapter contains exercises, with corresponding answers and hints in the appendix, providing students the opportunity to test and extend their understanding of the subject. Methods of Mivariate Analysis provides an authoritative reference for statistics students as well as for practicing scientists and clinicians.
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