This book integrates methods and data based on interpretations relevant to multivariate analysis. It uses an applications approach and is graphically oriented and strong on examples.
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"...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)
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
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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