Items related to 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.
"synopsis" may belong to another edition of this title.
Review
"The book is an outgrowth of the workshop held in November 2000 at the University of Copenhagen. It opens by an extensive tutorial covering the topic from the early roots up to recent developments and is accompanied by a vast bibliography of newly 150 items...
The book is the first comprehensive treatment of this topic, perhaps because only the present-day computers are able to meet the enormous requirements for high speed and large memory necessary for the application of statistical techniques to dependent data. It will be suitable for classroom use as well as for specialists in probability and statistics and for practitioners in the above mentioned branches of dependent data applications." ---APPLICATIONS OF MATHEMATICS
"About this title" may belong to another edition of this title.
- PublisherBirkhäuser
- Publication date2012
- ISBN 10 1461266114
- ISBN 13 9781461266112
- BindingPaperback
- LanguageEnglish
- Number of pages394
- EditorDehling Herold, Mikosch Thomas, Sörensen Michael
Other Popular Editions of the Same Title
Search results for Empirical Process Techniques for Dependent Data
Stock Image
Empirical Process Techniques for Dependent Data
Seller: Lucky's Textbooks, Dallas, TX, U.S.A.
Seller rating 5 out of 5 stars
Condition: New. Seller Inventory # ABLIING23Mar2716030028108
Quantity: Over 20 available
Stock Image
Empirical Process Techniques for Dependent Data
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. In. Seller Inventory # ria9781461266112_new
Quantity: Over 20 available
Seller Image
Empirical Process Techniques for Dependent Data
Published by
Birkhäuser Boston Okt 2012, 2012
ISBN 10: 1461266114
ISBN 13: 9781461266112
New
Taschenbuch
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: 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. Seller Inventory # 9781461266112
Quantity: 2 available
Seller Image
Empirical Process Techniques for Dependent Data
Print on DemandSeller: moluna, Greven, Germany
Seller rating 5 out of 5 stars
Condition: 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. Seller Inventory # 4189256
Quantity: Over 20 available
Seller Image
Empirical Process Techniques for Dependent Data
Published by
Birkhäuser Boston, Birkhäuser Boston, 2012
ISBN 10: 1461266114
ISBN 13: 9781461266112
New
Taschenbuch
Seller: AHA-BUCH GmbH, Einbeck, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: 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, Seller Inventory # 9781461266112
Quantity: 1 available
Stock Image
Empirical Process Techniques for Dependent Data
Published by
Springer-Verlag New York Inc., 2012
ISBN 10: 1461266114
ISBN 13: 9781461266112
New
Paperback / softback
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
Paperback / softback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 720. Seller Inventory # C9781461266112
Quantity: Over 20 available
Seller Image
Empirical Process Techniques for Dependent Data
Published by
Birkhäuser Boston, Birkhäuser Boston Okt 2012, 2012
ISBN 10: 1461266114
ISBN 13: 9781461266112
New
Taschenbuch
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: 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. Seller Inventory # 9781461266112
Quantity: 2 available
Stock Image
Empirical Process Techniques for Dependent Data
Seller: Mispah books, Redhill, SURRE, United Kingdom
Seller rating 4 out of 5 stars
Paperback. Condition: Like New. Like New. book. Seller Inventory # ERICA80014612661146
Quantity: 1 available