Articles liés à Empirical Process Techniques for Dependent Data
Synopsis
Empirical process techniques for independent data have been used for many years in statistics and probability theory. This work gives an introduction to a new theory of empirical process techniques --- treating dependent data --- which has so far been scattered widely in the statistical and probabilistic literature, and surveys the most recent developments in various related fields. To date this book is the only comprehensive treatment of the topic in book literature. It is an ideal introductory text that will serve as a reference or resource for classroom use.
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Empirical Process Techniques for Dependent Data
Edité par
Birkhäuser Boston, 2012
ISBN 10 : 1461266114
ISBN 13 : 9781461266112
Neuf
Couverture souple
Vendeur : moluna, Greven, Allemagne
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Empirical process techniques for independent data have been used for many years in statistics and probability theory. These techniques have proved very useful for studying asymptotic properties of parametric as well as non-parametric statistical procedures. N° de réf. du vendeur 4189256
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Empirical Process Techniques for Dependent Data
Edité par
Birkhäuser Boston Okt 2012, 2012
ISBN 10 : 1461266114
ISBN 13 : 9781461266112
Neuf
Taschenbuch
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Empirical process techniques for independent data have been used for many years in statistics and probability theory. These techniques have proved very useful for studying asymptotic properties of parametric as well as non-parametric statistical procedures. Recently, the need to model the dependence structure in data sets from many different subject areas such as finance, insurance, and telecommunications has led to new developments concerning the empirical distribution function and the empirical process for dependent, mostly stationary sequences. This work gives an introduction to this new theory of empirical process techniques, which has so far been scattered in the statistical and probabilistic literature, and surveys the most recent developments in various related fields. Key features: A thorough and comprehensive introduction to the existing theory of empirical process techniques for dependent data \* Accessible surveys by leading experts of the most recent developments in various related fields \* Examines empirical process techniques for dependent data, useful for studying parametric and non-parametric statistical procedures \* Comprehensive bibliographies \* An overview of applications in various fields related to empirical processes: e.g., spectral analysis of time-series, the bootstrap for stationary sequences, extreme value theory, and the empirical process for mixing dependent observations, including the case of strong dependence. To date this book is the only comprehensive treatment of the topic in book literature. It is an ideal introductory text that will serve as a reference or resource for classroom use in the areas of statistics, time-series analysis, extreme value theory, point process theory, and applied probability theory. Contributors: P. Ango Nze, M.A. Arcones, I. Berkes, R. Dahlhaus, J. Dedecker, H.G. Dehling, 396 pp. Englisch. N° de réf. du vendeur 9781461266112
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Empirical Process Techniques for Dependent Data
Edité par
Birkhäuser Boston, Birkhäuser Boston Okt 2012, 2012
ISBN 10 : 1461266114
ISBN 13 : 9781461266112
Neuf
Taschenbuch
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. Neuware -Empirical process techniques for independent data have been usedfor many years in statistics and probability theory. These techniqueshave proved very useful for studying asymptotic properties ofparametric as well as non-parametric statistical procedures. Recentlythe need to model the dependence structure in data sets from manydifferent subject areas such as finance, insurance, andtelecommunications has led to new developments concerning theempirical distribution function and the empirical process fordependent, mostly stationary sequences. This work gives anintroduction to this new theory of empirical process techniques, whichhas so far been scattered in the statistical and probabilisticliterature, and surveys the most recent developments in variousrelated fields.Key features: A thorough and comprehensive introduction to theexisting theory of empirical process techniques for dependent data \*Accessible surveys by leading experts of the most recent developmentsin various related fields \* Examines empirical process techniques fordependent data, useful for studying parametric and non-parametricstatistical procedures \* Comprehensive bibliographies \* An overview ofapplications in various fields related to empirical processes: e.g.spectral analysis of time-series, the bootstrap for stationarysequences, extreme value theory, and the empirical process for mixingdependent observations, including the case of strong dependence.To date this book is the only comprehensive treatment of the topicin book literature. It is an ideal introductory text that will serveas a reference or resource for classroom use in the areas ofstatistics, time-series analysis, extreme value theory, point processtheory, and applied probability theory. Contributors: P. AngoNze, M.A. Arcones, I. Berkes, R. Dahlhaus, J. Dedecker, H.G. Dehling,Springer Basel AG in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin 396 pp. Englisch. N° de réf. du vendeur 9781461266112
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Empirical Process Techniques for Dependent Data
Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
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Etat : New. In. N° de réf. du vendeur ria9781461266112_new
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Empirical Process Techniques for Dependent Data
Edité par
Birkhäuser Boston, Birkhäuser Boston, 2012
ISBN 10 : 1461266114
ISBN 13 : 9781461266112
Neuf
Taschenbuch
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - Empirical process techniques for independent data have been used for many years in statistics and probability theory. These techniques have proved very useful for studying asymptotic properties of parametric as well as non-parametric statistical procedures. Recently, the need to model the dependence structure in data sets from many different subject areas such as finance, insurance, and telecommunications has led to new developments concerning the empirical distribution function and the empirical process for dependent, mostly stationary sequences. This work gives an introduction to this new theory of empirical process techniques, which has so far been scattered in the statistical and probabilistic literature, and surveys the most recent developments in various related fields. Key features: A thorough and comprehensive introduction to the existing theory of empirical process techniques for dependent data \* Accessible surveys by leading experts of the most recent developments in various related fields \* Examines empirical process techniques for dependent data, useful for studying parametric and non-parametric statistical procedures \* Comprehensive bibliographies \* An overview of applications in various fields related to empirical processes: e.g., spectral analysis of time-series, the bootstrap for stationary sequences, extreme value theory, and the empirical process for mixing dependent observations, including the case of strong dependence. To date this book is the only comprehensive treatment of the topic in book literature. It is an ideal introductory text that will serve as a reference or resource for classroom use in the areas of statistics, time-series analysis, extreme value theory, point process theory, and applied probability theory. Contributors: P. Ango Nze, M.A. Arcones, I. Berkes, R. Dahlhaus, J. Dedecker, H.G. Dehling, N° de réf. du vendeur 9781461266112
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Empirical Process Techniques for Dependent Data
Edité par
Springer-Verlag New York Inc., 2012
ISBN 10 : 1461266114
ISBN 13 : 9781461266112
Neuf
Paperback / softback
Vendeur : THE SAINT BOOKSTORE, Southport, Royaume-Uni
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Paperback / softback. Etat : New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 720. N° de réf. du vendeur C9781461266112
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Empirical Process Techniques for Dependent Data
Vendeur : Lucky's Textbooks, Dallas, TX, Etats-Unis
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Etat : New. N° de réf. du vendeur ABLIING23Mar2716030028108
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Empirical Process Techniques for Dependent Data
Edité par
Birkhäuser, 2012
ISBN 10 : 1461266114
ISBN 13 : 9781461266112
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Paperback
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