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<P>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.</P><P>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.</P>
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“The style of the book is clearly intended for people who are familiar with the basic concepts of time series analysis. ... it can be readily recommended to people wishing for a not too technical, and concise introduction to nonlinear time series analysis, which is a certainly welcome addition to the knowledge of any scholar in probability and statistics.” (Tamás T. Szabó, Acta Scientiarum Mathematicarum, Vol. 81 (1-2), 2015)
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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.
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Non-Linear Time Series: Extreme Events and Integer Value Problems by Turkman, Kamil Feridun, Scotto, Manuel González, de Zea Bermudez, PatrÃcia [Hardcover ]
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Descripción 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. Nº de ref. del artículo: 9783319070278
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Descripción Hardcover. Condición: Brand New. 2014 edition. 260 pages. 9.50x6.25x0.75 inches. In Stock. Nº de ref. del artículo: x-3319070274
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Descripción Condición: New. Non-Linear Time Series Num Pages: 245 pages, 41 black & white illustrations, biography. BIC Classification: KCH; PBT; RN. Category: (P) Professional & Vocational. Dimension: 242 x 164 x 20. Weight in Grams: 532. . 2014. 2014th Edition. Hardcover. . . . . Nº de ref. del artículo: V9783319070278
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Descripción 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. Nº de ref. del artículo: 9783319070278
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Descripción 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. Nº de ref. del artículo: 4497756
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