Téléchargez le livre : Statistical Methods for Ranking Data

Statistical Methods for Ranking Data

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Éditeur :

Springer


Collection :

Frontiers in Probability and the Statistical Sciences

Paru le : 2014-09-02

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Description

This book introduces advanced undergraduate, graduate students and practitioners to statistical methods for ranking data. An important aspect of nonparametric statistics is oriented towards the use of ranking data. Rank correlation is defined through the notion of distance functions and the notion of compatibility is introduced to deal with incomplete data. Ranking data are also modeled using a variety of modern tools such as CART, MCMC, EM algorithm and factor analysis.
This book deals with statistical methods used for analyzing such data and provides a novel and unifying approach for hypotheses testing. The techniques described in the book are illustrated with examples and the statistical software is provided on the authors’ website.
Pages
273 pages
Collection
Frontiers in Probability and the Statistical Sciences
Parution
2014-09-02
Marque
Springer
EAN papier
9781493914708
EAN EPUB
9781493914715
Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
27
Taille du fichier
3072 Ko
Prix
126,59 €

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