Methods for Statistical Data Analysis of Multivariate Observations

Author:   R. Gnanadesikan (Rutgers University, New Brunswick, New Jersey)
Publisher:   John Wiley & Sons Inc
Edition:   2nd edition
ISBN:  

9780471161196


Pages:   384
Publication Date:   07 February 1997
Format:   Hardback
Availability:   Out of stock   Availability explained
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Methods for Statistical Data Analysis of Multivariate Observations


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Overview

A practical guide for multivariate statistical techniques-- nowupdated and revised In recent years, innovations in computer technology and statisticalmethodologies have dramatically altered the landscape ofmultivariate data analysis. This new edition of Methods forStatistical Data Analysis of Multivariate Observations explorescurrent multivariate concepts and techniques while retaining thesame practical focus of its predecessor. It integrates methods anddata-based interpretations relevant to multivariate analysis in away that addresses real-world problems arising in many areas ofinterest. Greatly revised and updated, this Second Edition provides helpfulexamples, graphical orientation, numerous illustrations, and anappendix detailing statistical software, including the S (or Splus)and SAS systems. It also offers * An expanded chapter on cluster analysis that covers advances inpattern recognition * New sections on inputs to clustering algorithms and aids forinterpreting the results of cluster analysis * An exploration of some new techniques of summarization andexposure * New graphical methods for assessing the separations among theeigenvalues of a correlation matrix and for comparing sets ofeigenvectors * Knowledge gained from advances in robust estimation anddistributional models that are slightly broader than themultivariate normal This Second Edition is invaluable for graduate students, appliedstatisticians, engineers, and scientists wishing to usemultivariate techniques in a variety of disciplines.

Full Product Details

Author:   R. Gnanadesikan (Rutgers University, New Brunswick, New Jersey)
Publisher:   John Wiley & Sons Inc
Imprint:   Wiley-Interscience
Edition:   2nd edition
Dimensions:   Width: 16.20cm , Height: 2.20cm , Length: 24.10cm
Weight:   0.709kg
ISBN:  

9780471161196


ISBN 10:   0471161195
Pages:   384
Publication Date:   07 February 1997
Audience:   College/higher education ,  Professional and scholarly ,  Undergraduate ,  Postgraduate, Research & Scholarly
Format:   Hardback
Publisher's Status:   Active
Availability:   Out of stock   Availability explained
The supplier is temporarily out of stock of this item. It will be ordered for you on backorder and shipped when it becomes available.

Table of Contents

Reduction of Dimensionality. Development and Study of Multivariate Dependencies. Multidimensional Classification and Clustering. Assessment of Specific Aspects of Multivariate StatisticalModels. Summarization and Exposure. References. Appendix. Indexes.

Reviews

...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)


Author Information

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.

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