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Geometric Data Analysis - From Correspondence Analysis to Structured Data Analysis (Paperback, Softcover reprint of hardcover 1st ed. 2004)
Loot Price: R2,710
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Geometric Data Analysis - From Correspondence Analysis to Structured Data Analysis (Paperback, Softcover reprint of hardcover 1st ed. 2004)
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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 Benzecri 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.
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