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Useful in the theoretical and empirical analysis of nonlinear time series data, semiparametric methods have received extensive attention in the economics and statistics communities over the past twenty years. Recent studies show that semiparametric methods and models may be applied to solve dimensionality reduction problems arising from using fully nonparametric models and methods. Answering the call for an up-to-date overview of the latest developments in the field, Nonlinear Time Series: Semiparametric and Nonparametric Methods focuses on various semiparametric methods in model estimation, specification testing, and selection of time series data.
After a brief introduction, the book examines semiparametric estimation and specification methods and then applies these approaches to a class of nonlinear continuous-time models with real-world data. It also assesses some newly proposed semiparametric estimation procedures for time series data with long-range dependence. Even though the book only deals with climatological and financial data, the estimation and specifications methods discussed can be applied to models with real-world data in many disciplines.
This resource covers key methods in time series analysis and provides the necessary theoretical details. The latest applied finance and financial econometrics results and applications presented in the book enable researchers and graduate students to keep abreast of developments in the field.
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Gao, Jiti
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Nonlinear Time Series: Semiparametric and Nonparametric Methods (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)
Editore:
Chapman and Hall/CRC, 2007
ISBN 10: 1584886137
ISBN 13: 9781584886136
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Nonlinear Time Series (Hardcover)
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Taylor & Francis Inc, 2007
ISBN 10: 1584886137
ISBN 13: 9781584886136
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Hardcover. Condizione: new. Hardcover. Useful in the theoretical and empirical analysis of nonlinear time series data, semiparametric methods have received extensive attention in the economics and statistics communities over the past twenty years. Recent studies show that semiparametric methods and models may be applied to solve dimensionality reduction problems arising from using fully nonparametric models and methods. Answering the call for an up-to-date overview of the latest developments in the field, Nonlinear Time Series: Semiparametric and Nonparametric Methods focuses on various semiparametric methods in model estimation, specification testing, and selection of time series data.After a brief introduction, the book examines semiparametric estimation and specification methods and then applies these approaches to a class of nonlinear continuous-time models with real-world data. It also assesses some newly proposed semiparametric estimation procedures for time series data with long-range dependence. Even though the book only deals with climatological and financial data, the estimation and specifications methods discussed can be applied to models with real-world data in many disciplines.This resource covers key methods in time series analysis and provides the necessary theoretical details. The latest applied finance and financial econometrics results and applications presented in the book enable researchers and graduate students to keep abreast of developments in the field. Focuses on the various semiparametric methods in model estimation, specification testing, and selection of time series data. This book examines semiparametric estimation and specification methods and then applies these approaches to a class of nonlinear continuous-time models with real-world data. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Codice articolo 9781584886136
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Nonlinear Time Series: Semiparametric and Nonparametric Methods (Chapman & Hall/CRC Monographs on Statistics & Applied Probability)
Editore:
Chapman and Hall/CRC 2007-03-22, 2007
ISBN 10: 1584886137
ISBN 13: 9781584886136
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Hardcover. Condizione: New. Codice articolo 6666-TNFPD-9781584886136
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Nonlinear Time Series
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Condizione: New. pp. vii + 237 1st Edition. Codice articolo 26526903
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Nonlinear Time Series (Hardcover)
Editore:
Taylor & Francis Inc, 2007
ISBN 10: 1584886137
ISBN 13: 9781584886136
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Da: AussieBookSeller, Truganina, VIC, Australia
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Hardcover. Condizione: new. Hardcover. Useful in the theoretical and empirical analysis of nonlinear time series data, semiparametric methods have received extensive attention in the economics and statistics communities over the past twenty years. Recent studies show that semiparametric methods and models may be applied to solve dimensionality reduction problems arising from using fully nonparametric models and methods. Answering the call for an up-to-date overview of the latest developments in the field, Nonlinear Time Series: Semiparametric and Nonparametric Methods focuses on various semiparametric methods in model estimation, specification testing, and selection of time series data.After a brief introduction, the book examines semiparametric estimation and specification methods and then applies these approaches to a class of nonlinear continuous-time models with real-world data. It also assesses some newly proposed semiparametric estimation procedures for time series data with long-range dependence. Even though the book only deals with climatological and financial data, the estimation and specifications methods discussed can be applied to models with real-world data in many disciplines.This resource covers key methods in time series analysis and provides the necessary theoretical details. The latest applied finance and financial econometrics results and applications presented in the book enable researchers and graduate students to keep abreast of developments in the field. Focuses on the various semiparametric methods in model estimation, specification testing, and selection of time series data. This book examines semiparametric estimation and specification methods and then applies these approaches to a class of nonlinear continuous-time models with real-world data. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Codice articolo 9781584886136
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Nonlinear Time Series
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Condizione: New. pp. vii + 237 500 equations This item is printed on demand. Codice articolo 8369640
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Nonlinear Time Series
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Condizione: New. PRINT ON DEMAND pp. vii + 237. Codice articolo 18526909
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Nonlinear Time Series: Semiparametric and Nonparametric Methods
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Condizione: New. Gao, JitiUseful in the theoretical and empirical analysis of nonlinear time series data, semiparametric methods have received extensive attention in the economics and statistics communities over the past twenty years. Recent studies show that semipar. Codice articolo 596345079
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Nonlinear Time Series: Semiparametric and Nonparametric Methods (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)
Editore:
Chapman and Hall/CRC, 2007
ISBN 10: 1584886137
ISBN 13: 9781584886136
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Hardcover. Condizione: Like New. Like New. book. Codice articolo ERICA75815848861375
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Nonlinear Time Series : Semiparametric and Nonparametric Methods
Da: AHA-BUCH GmbH, Einbeck, Germania
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Buch. Condizione: Neu. Neuware - Nonlinear Time Series: Semiparametric and Nonparametric Methods focuses on various semiparametric methods in model estimation, specification testing, and selection of time series data. After a brief introduction, the book examines semiparametric estimation and specification methods and then applies these approaches to a class of nonlinear continuous-time models with real-world data. It also assesses some newly proposed semiparametric estimation procedures for time series data with long-range dependence. Even though the book only deals with climatological and financial data, the estimation and specifications methods discussed can be applied to models with real-world data in many disciplines. Codice articolo 9781584886136
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