Geometric Data Analysis - From Correspondence Analysis to Structured Data Analysis (Paperback, Softcover reprint of hardcover 1st ed. 2004)

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.

General

Imprint:	Springer
Country of origin:	Netherlands
Release date:	2011
First published:	2004
Authors:	Brigitte Le Roux • Henry Rouanet
Dimensions:	240 x 160 x 24mm (L x W x T)
Format:	Paperback
Pages:	475
Edition:	Softcover reprint of hardcover 1st ed. 2004
ISBN-13:	978-90-481-6619-0
Categories:	Books > Language & Literature > Language & linguistics > Computational linguistics Books > Business & Economics > Economics > Economic theory & philosophy Books > Science & Mathematics > Mathematics > Probability & statistics Promotions
LSN:	90-481-6619-5
Barcode:	9789048166190

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