Statistical Methods for Ranking Data
Alvo, Mayer; Yu, Philip L. H.
ISBN 10: 1493914707 ISBN 13: 9781493914708
Editorial: Springer, 2014
Usado
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Descripción
Descripción:
Unread book in perfect condition. N° de ref. del artículo 21962412
Sinopsis:
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.
De la contraportada:
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.
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Detalles bibliográficos
Título: Statistical Methods for Ranking Data
Editorial: Springer
Año de publicación: 2014
Encuadernación: Encuadernación de tapa dura
Condición: As New