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Statistical Methods for Ranking Data (Frontiers in Probability and the Statistical Sciences) - Hardcover
Inhaltsangabe
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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- VerlagSpringer
- Erscheinungsdatum2014
- ISBN 10 1493914707
- ISBN 13 9781493914708
- EinbandTapa dura
- SpracheEnglisch
- Anzahl der Seiten288
- Kontakt zum HerstellerNicht verfügbar
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Statistical Methods for Ranking Data
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Statistical Methods for Ranking Data
Verlag:
Springer New York, Springer New York Sep 2014, 2014
ISBN 10: 1493914707
ISBN 13: 9781493914708
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Buch. Zustand: Neu. 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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 288 pp. Englisch. Artikel-Nr. 9781493914708
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Statistical Methods for Ranking Data
Verlag:
Springer New York, Springer New York, 2014
ISBN 10: 1493914707
ISBN 13: 9781493914708
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Hardcover
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Buch. Zustand: 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. Artikel-Nr. 9781493914708
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Statistical Methods for Ranking Data (Frontiers in Probability and the Statistical Sciences)
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Statistical Methods for Ranking Data
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