Téléchargez le livre :  Geometric Data Analysis

Geometric Data Analysis

From Correspondence Analysis to Structured Data Analysis de

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Éditeur :

Springer


Paru le : 2006-01-16

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Description
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.
Pages
475 pages
Collection
n.c
Parution
2006-01-16
Marque
Springer
EAN papier
9781402022357
EAN PDF
9781402022364

Informations sur l'ebook
Nombre pages copiables
4
Nombre pages imprimables
47
Taille du fichier
33669 Ko
Prix
94,94 €

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