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Geometric Data Analysis

From Correspondence Analysis to Structured Data Analysis

Language EnglishEnglish
Book Hardback
Book Geometric Data Analysis Brigitte Le Roux
Libristo code: 01415735
Publishers Springer Netherlands, July 2005
Geometric Data Analysis (GDA) is the name suggested by P. Suppes (Stanford University) to designate... Full description
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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.

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About the book

Full name Geometric Data Analysis
Language English
Binding Book - Hardback
Date of issue 2005
Number of pages 475
EAN 9781402022357
ISBN 1402022352
Libristo code 01415735
Weight 880
Dimensions 160 x 240 x 26
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