Methods of Multivariate Analysis

Released on by Alvin C. Rencher
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  • Methods of Multivariate Analysis Book Detail

  • Author : Alvin C. Rencher
  • Release Date : 2003-04-14
  • Publisher : John Wiley & Sons
  • Genre : Mathematics
  • Pages : 739
  • ISBN 13 : 0471461725
  • File Size : 10,10 MB
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Methods of Multivariate Analysis by Alvin C. Rencher PDF Summary

Book Description: Amstat News asked three review editors to rate their top five favorite books in the September 2003 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. Multivariate 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 Multivariate Analysis provides students of all statistical backgrounds with both the fundamental and more sophisticated skills necessary to master the discipline. To illustrate multivariate 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 multivariate 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 Multidimensional scaling Correspondence analysis Biplots 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 Multivariate Analysis provides an authoritative reference for statistics students as well as for practicing scientists and clinicians.

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Methods of Multivariate Analysis

Methods of Multivariate Analysis

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Amstat News asked three review editors to rate their top five favorite books in the September 2003 issue. Methods of Multivariate Analysis was among those chose

Multivariate Analysis

Multivariate Analysis

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Data can be extremely valuable if we are able to extract information from them. This is why multivariate data analysis is essential for business and science. Th

Modern Multivariate Statistical Techniques

Modern Multivariate Statistical Techniques

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This is the first book on multivariate analysis to look at large data sets which describes the state of the art in analyzing such data. Material such as databas