Geometric Data Analysis: From Correspondence Analysis To Structured Data Analysis

June 29, 2004|
Geometric Data Analysis: From Correspondence Analysis To Structured Data Analysis by Brigitte Le Roux
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Geometric Data Analysis(GDA) is the name suggested by P. Suppes (Stanford University) to designate the approach to Multivariate Statistics initiated by Benzécri as Correspondence Analysis, an approach that has become more and more used and appreciated over the years. This book presents the full formalization of GDA in terms of linear algebra - the most original and far-reaching consequential feature of the approach - and shows also how to integrate the standard statistical tools such as Analysis of Variance, including Bayesian methods. Chapter 9, Research Case Studies, is nearly a book in itself; it presents the methodology in action on three extensive applications, one for medicine, one from political science, and one from education (data borrowed from the Stanford computer-based Educational Program for Gifted Youth ). Thus the readership of the book concerns both mathematicians interested in the applications of mathematics, and researchers willing to master an exceptionally powerful approach of statistical data analysis.
Title:Geometric Data Analysis: From Correspondence Analysis To Structured Data Analysis
Format:Hardcover
Product dimensions:475 pages, 9.45 X 6.3 X 0 in
Shipping dimensions:475 pages, 9.45 X 6.3 X 0 in
Published:June 29, 2004
Publisher:Kluwer Boston Inc.
Language:English
Appropriate for ages:All ages
ISBN - 13:9781402022357

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