Publicado por Springer, 2014
ISBN 10: 3319070274 ISBN 13: 9783319070278
Librería: booksXpress, Bayonne, NJ, Estados Unidos de America
Hardcover. Condición: new.
Publicado por Springer, 2014
ISBN 10: 3319070274 ISBN 13: 9783319070278
Librería: Lucky's Textbooks, Dallas, TX, Estados Unidos de America
Condición: New.
Publicado por Springer, 2014
ISBN 10: 3319070274 ISBN 13: 9783319070278
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
Condición: New.
Publicado por Springer, 2014
ISBN 10: 3319070274 ISBN 13: 9783319070278
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
Condición: As New. Unread book in perfect condition.
Publicado por Springer, 2014
ISBN 10: 3319070274 ISBN 13: 9783319070278
Librería: Ria Christie Collections, Uxbridge, Reino Unido
Condición: New. PRINT ON DEMAND Book; New; Fast Shipping from the UK. No. book.
Publicado por Springer International Publishing Sep 2016, 2016
ISBN 10: 331934871X ISBN 13: 9783319348711
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book offers a useful combination of probabilistic and statistical tools for analyzing nonlinear time series. Key features of the book include a study of the extremal behavior of nonlinear time series and a comprehensive list of nonlinear models that address different aspects of nonlinearity. Several inferential methods, including quasi likelihood methods, sequential Markov Chain Monte Carlo Methods and particle filters, are also included so as to provide an overall view of the available tools for parameter estimation for nonlinear models. A chapter on integer time series models based on several thinning operations, which brings together all recent advances made in this area, is also included.Readers should have attended a prior course on linear time series, and a good grasp of simulation-based inferential methods is recommended. This book offers a valuable resource for second-year graduate students and researchers in statistics and other scientific areas who need a basic understanding of nonlinear time series. 260 pp. Englisch.
Publicado por Springer International Publishing Okt 2014, 2014
ISBN 10: 3319070274 ISBN 13: 9783319070278
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book offers a useful combination of probabilistic and statistical tools for analyzing nonlinear time series. Key features of the book include a study of the extremal behavior of nonlinear time series and a comprehensive list of nonlinear models that address different aspects of nonlinearity. Several inferential methods, including quasi likelihood methods, sequential Markov Chain Monte Carlo Methods and particle filters, are also included so as to provide an overall view of the available tools for parameter estimation for nonlinear models. A chapter on integer time series models based on several thinning operations, which brings together all recent advances made in this area, is also included.Readers should have attended a prior course on linear time series, and a good grasp of simulation-based inferential methods is recommended. This book offers a valuable resource for second-year graduate students and researchers in statistics and other scientific areas who need a basic understanding of nonlinear time series. 260 pp. Englisch.
Publicado por Springer, 2014
ISBN 10: 3319070274 ISBN 13: 9783319070278
Librería: GreatBookPricesUK, Castle Donington, DERBY, Reino Unido
Condición: New.
Publicado por Springer, 2014
ISBN 10: 3319070274 ISBN 13: 9783319070278
Librería: Revaluation Books, Exeter, Reino Unido
Hardcover. Condición: Brand New. 2014 edition. 260 pages. 9.50x6.25x0.75 inches. In Stock.
Publicado por Springer International Publishing, 2014
ISBN 10: 3319070274 ISBN 13: 9783319070278
Librería: AHA-BUCH GmbH, Einbeck, Alemania
Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book offers a useful combination of probabilistic and statistical tools for analyzing nonlinear time series. Key features of the book include a study of the extremal behavior of nonlinear time series and a comprehensive list of nonlinear models that address different aspects of nonlinearity. Several inferential methods, including quasi likelihood methods, sequential Markov Chain Monte Carlo Methods and particle filters, are also included so as to provide an overall view of the available tools for parameter estimation for nonlinear models. A chapter on integer time series models based on several thinning operations, which brings together all recent advances made in this area, is also included.Readers should have attended a prior course on linear time series, and a good grasp of simulation-based inferential methods is recommended. This book offers a valuable resource for second-year graduate students and researchers in statistics and other scientific areas who need a basicunderstanding of nonlinear time series.
Publicado por Springer International Publishing, 2016
ISBN 10: 331934871X ISBN 13: 9783319348711
Librería: AHA-BUCH GmbH, Einbeck, Alemania
Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book offers a useful combination of probabilistic and statistical tools for analyzing nonlinear time series. Key features of the book include a study of the extremal behavior of nonlinear time series and a comprehensive list of nonlinear models that address different aspects of nonlinearity. Several inferential methods, including quasi likelihood methods, sequential Markov Chain Monte Carlo Methods and particle filters, are also included so as to provide an overall view of the available tools for parameter estimation for nonlinear models. A chapter on integer time series models based on several thinning operations, which brings together all recent advances made in this area, is also included.Readers should have attended a prior course on linear time series, and a good grasp of simulation-based inferential methods is recommended. This book offers a valuable resource for second-year graduate students and researchers in statistics and other scientific areas who need a basicunderstanding of nonlinear time series.
Publicado por Springer, 2014
ISBN 10: 3319070274 ISBN 13: 9783319070278
Librería: GreatBookPricesUK, Castle Donington, DERBY, Reino Unido
Condición: As New. Unread book in perfect condition.
Publicado por Springer International Publishing, 2014
ISBN 10: 3319070274 ISBN 13: 9783319070278
Librería: moluna, Greven, Alemania
Gebunden. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Includes a chapter on extremal properties of non linear time seriesRecent developments on the inferential methods for time series are treatedInteger time series modelsKamil Feridun Turkman graduated from Middle East Technical Uni.
Publicado por Springer International Publishing, 2016
ISBN 10: 331934871X ISBN 13: 9783319348711
Librería: moluna, Greven, Alemania
Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Includes a chapter on extremal properties of non linear time seriesRecent developments on the inferential methods for time series are treatedInteger time series modelsKamil Feridun Turkman graduated from Middle East Technical Uni.
Publicado por Springer, 2016
ISBN 10: 331934871X ISBN 13: 9783319348711
Librería: Mispah books, Redhill, SURRE, Reino Unido
Paperback. Condición: Like New. Like New. book.