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Synopsis
A practical guide for multivariate statistical techniques-- now updated and revised
In recent years, innovations in computer technology and statistical methodologies have dramatically altered the landscape of multivariate data analysis. This new edition of Methods for Statistical Data Analysis of Multivariate Observations explores current multivariate concepts and techniques while retaining the same practical focus of its predecessor. It integrates methods and data-based interpretations relevant to multivariate analysis in a way that addresses real-world problems arising in many areas of interest.
Greatly revised and updated, this Second Edition provides helpful examples, graphical orientation, numerous illustrations, and an appendix detailing statistical software, including the S (or Splus) and SAS systems. It also offers
* An expanded chapter on cluster analysis that covers advances in pattern recognition
* New sections on inputs to clustering algorithms and aids for interpreting the results of cluster analysis
* An exploration of some new techniques of summarization and exposure
* New graphical methods for assessing the separations among the eigenvalues of a correlation matrix and for comparing sets of eigenvectors
* Knowledge gained from advances in robust estimation and distributional models that are slightly broader than the multivariate normal
This Second Edition is invaluable for graduate students, applied statisticians, engineers, and scientists wishing to use multivariate techniques in a variety of disciplines.
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About the Author
R. GNANADESIKAN, PhD, is a professor in the Department of Statistics at Rutgers University. He received his doctorate from the University of North Carolina. A former chairperson of Section U of the American Statistical Association (ASA) and past president of the Institute of Mathematical Statistics, he is a fellow of the American Association for the Advancement of Science, the Royal Statistical Society, and the ASA. Professor Gnanadesikan is the author of more than 75 technical publications and author/editor of three previous books.
Review
"...second edition of the book first published in 1977...new material appears in virtually every chapter..." (Quarterly of Applied Mathematics, Vol. LIX, No. 3, September 2001)
"About this title" may belong to another edition of this title.
- PublisherJohn Wiley & Sons Inc
- Publication date1977
- ISBN 10 0471308455
- ISBN 13 9780471308454
- BindingHardcover
- LanguageEnglish
- Number of pages324
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Methods for Statistical Data Analysis of Multivariate Observations (Wiley Series in Probability and Mathematical Statistics)
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Methods for Statistical Data Analysis of Multivariate Observations
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ISBN 10: 0471308455
ISBN 13: 9780471308454
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Methods for Statistical Data Analysis of Multivariate Observations
Published by
Wiley & Sons, Incorporated, John, 1977
ISBN 10: 0471308455
ISBN 13: 9780471308454
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Methods for Statistical Data Analysis of Multivariate Observations
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Methods for Statistical Data Analysis of Multivariate Observations
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Methods for Statistical Data Analysis of Multivariate Observations
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Methods for Statistical Data Analysis of Multivariate Observations
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Methods for Statistical Data Analysis of Multivariate Observations (Wiley Series in Probability and Statistics Applied Probability and Statistics Section)
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Methods for Statistical Data Analysis of Multivariate Observations. Wiley Series in Probability & Mathematical Statistics.
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Methods for Statistical Data Analysis of Multivariate Observations
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ISBN 10: 0471308455
ISBN 13: 9780471308454
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