Statistical Methods for Ranking Data
Alvo, Mayer; Yu, Philip L. H.
ISBN 10: 1493914707 ISBN 13: 9781493914708
Editore: Springer, 2014
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Codice articolo 21962412-n
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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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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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Titolo: Statistical Methods for Ranking Data
Casa editrice: Springer
Data di pubblicazione: 2014
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Statistical Methods for Ranking Data
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Condizione: Sehr gut. Zustand: Sehr gut | Seiten: 288 | Sprache: Englisch | Produktart: Bücher | 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. Codice articolo 24818591/12
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Statistical Methods for Ranking Data
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Hardcover. Condizione: Très bon. Ancien livre de bibliothèque avec équipements. Edition 2014. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Very good. Former library book. Edition 2014. Ammareal gives back up to 15% of this item's net price to charity organizations. Codice articolo H-108-897
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Statistical Methods for Ranking Data (eng)
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Condizione: new. Questo è un articolo print on demand. Codice articolo 687f27b62530ef835e916908af417c84
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Statistical Methods for Ranking Data
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Contains a unified treatment of both inference and modeling for ranking dataContains comprehensive software to enable the practitioner to access the methodsContains illustrative data sets and exercises so that it can be used as a textbook i. Codice articolo 4214137
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Statistical Methods for Ranking Data
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Buch. Condizione: Neu. Statistical Methods for Ranking Data | Mayer Alvo (u. a.) | Buch | Frontiers in Probability and the Statistical Sciences | xi | Englisch | 2014 | Springer | EAN 9781493914708 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand. Codice articolo 105237675
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Statistical Methods for Ranking Data
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Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 288 pp. Englisch. Codice articolo 9781493914708
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Statistical Methods for Ranking Data
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Springer, Springer Sep 2014, 2014
ISBN 10: 1493914707
ISBN 13: 9781493914708
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Buch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.Libri GmbH, Europaallee 1, 36244 Bad Hersfeld 288 pp. Englisch. Codice articolo 9781493914708
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Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Codice articolo 9781493914708
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Statistical Methods for Ranking Data
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Springer-Verlag New York Inc., 2014
ISBN 10: 1493914707
ISBN 13: 9781493914708
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Hardback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days. Codice articolo C9781493914708
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