9780199587155 - modelling nonlinear economic time series (advanced texts in econometrics) de terasvirta, timo (26 resultados)
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Editorial: Oxford University Press, Incorporated, 2011
Serie: Advanced Texts in Econometrics, Libro 26 de 26. Libro 26 de 26 - Advanced Texts in Econometrics
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Condición: Very Good. Former library copy. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.
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Serie: Advanced Texts in Econometrics, Libro 26 de 26. Libro 26 de 26 - Advanced Texts in Econometrics
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Serie: Advanced Texts in Econometrics, Libro 26 de 26. Libro 26 de 26 - Advanced Texts in Econometrics
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Serie: Advanced Texts in Econometrics, Libro 26 de 26. Libro 26 de 26 - Advanced Texts in Econometrics
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Paperback. Condición: New. This book contains an extensive up-to-date overview of nonlinear time series models and their application to modelling economic relationships. It considers nonlinear models in stationary and nonstationary frameworks, and both parametric and nonparametric models are discussed. The book contains examples… of nonlinear models in economic theory and presents the most common nonlinear time series models. Importantly, it shows the reader how to apply these models in practice. For this purpose, the building of various nonlinear models with its three stages of model building: specification, estimation and evaluation, is discussed in detail and is illustrated by several examples involving both economic and non-economic data. Since estimation of nonlinear time series models is carried out using numerical algorithms, the book contains a chapter on estimating parametric nonlinear models and another on estimating nonparametric ones. Forecasting is a major reason for building time series models, linear or nonlinear. The book contains a discussion on forecasting with nonlinear models, both parametric and nonparametric, and considers numerical techniques necessary for computing multi-period forecasts from them. The main focus of the book is on models of the conditional mean, but models of the conditional variance, mainly those of autoregressive conditional heteroskedasticity, receive attention as well. A separate chapter is devoted to state space models. As a whole, the book is an indispensable tool for researchers interested in nonlinear time series and is also suitable for teaching courses in econometrics and time series analysis.
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Editorial: Oxford University Press, 2010
Serie: Advanced Texts in Econometrics, Libro 26 de 26. Libro 26 de 26 - Advanced Texts in Econometrics
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Paperback. Condición: Gut. XXVIII, 557 pp. Cover with slight signs of wear: crease on spine, slightly rubbed at the edges, front cover slightly creased. Well preserved inside 323 Sprache: Englisch Gewicht in Gramm: 1002.
Idioma: Inglés
Editorial: OUP Oxford 2010-12, 2010
Serie: Advanced Texts in Econometrics, Libro 26 de 26. Libro 26 de 26 - Advanced Texts in Econometrics
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PF. Condición: New.
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Editorial: Oxford University Press, 2011
Serie: Advanced Texts in Econometrics, Libro 26 de 26. Libro 26 de 26 - Advanced Texts in Econometrics
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Serie: Advanced Texts in Econometrics, Libro 26 de 26. Libro 26 de 26 - Advanced Texts in Econometrics
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Serie: Advanced Texts in Econometrics, Libro 26 de 26. Libro 26 de 26 - Advanced Texts in Econometrics
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Condición: New. This volume is a comprehensive assessment of many recent developments in the modelling of time series. The focus is on introducing various nonlinear models and discussing their practical use, and encouraging the reader to apply nonlinear models to their practical modelling problems. Series: Advanced Texts in Econ…ometrics. Num Pages: 586 pages, Numerous figures and tables. BIC Classification: KCB; KCH. Category: (UP) Postgraduate, Research & Scholarly. Dimension: 153 x 232 x 26. Weight in Grams: 850. . 2010. Illustrated. paperback. . . . .
Idioma: Inglés
Editorial: Oxford University Press, 2011
Serie: Advanced Texts in Econometrics, Libro 26 de 26. Libro 26 de 26 - Advanced Texts in Econometrics
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Serie: Advanced Texts in Econometrics, Libro 26 de 26. Libro 26 de 26 - Advanced Texts in Econometrics
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Condición: New. This volume is a comprehensive assessment of many recent developments in the modelling of time series. The focus is on introducing various nonlinear models and discussing their practical use, and encouraging the reader to apply nonlinear models to their practical modelling problems. Series: Advanced Texts in Econ…ometrics. Num Pages: 586 pages, Numerous figures and tables. BIC Classification: KCB; KCH. Category: (UP) Postgraduate, Research & Scholarly. Dimension: 153 x 232 x 26. Weight in Grams: 850. . 2010. Illustrated. paperback. . . . . Books ship from the US and Ireland.
Idioma: Inglés
Editorial: Oxford University Press, GB, 2010
Serie: Advanced Texts in Econometrics, Libro 26 de 26. Libro 26 de 26 - Advanced Texts in Econometrics
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Paperback. Condición: New. This book contains an extensive up-to-date overview of nonlinear time series models and their application to modelling economic relationships. It considers nonlinear models in stationary and nonstationary frameworks, and both parametric and nonparametric models are discussed. The book contains examples… of nonlinear models in economic theory and presents the most common nonlinear time series models. Importantly, it shows the reader how to apply these models in practice. For this purpose, the building of various nonlinear models with its three stages of model building: specification, estimation and evaluation, is discussed in detail and is illustrated by several examples involving both economic and non-economic data. Since estimation of nonlinear time series models is carried out using numerical algorithms, the book contains a chapter on estimating parametric nonlinear models and another on estimating nonparametric ones. Forecasting is a major reason for building time series models, linear or nonlinear. The book contains a discussion on forecasting with nonlinear models, both parametric and nonparametric, and considers numerical techniques necessary for computing multi-period forecasts from them. The main focus of the book is on models of the conditional mean, but models of the conditional variance, mainly those of autoregressive conditional heteroskedasticity, receive attention as well. A separate chapter is devoted to state space models. As a whole, the book is an indispensable tool for researchers interested in nonlinear time series and is also suitable for teaching courses in econometrics and time series analysis.
Idioma: Inglés
Editorial: Oxford University Press, 2011
Serie: Advanced Texts in Econometrics, Libro 26 de 26. Libro 26 de 26 - Advanced Texts in Econometrics
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Serie: Advanced Texts in Econometrics, Libro 26 de 26. Libro 26 de 26 - Advanced Texts in Econometrics
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Paperback. Condición: new. Paperback. This book contains an extensive up-to-date overview of nonlinear time series models and their application to modelling economic relationships. It considers nonlinear models in stationary and nonstationary frameworks, and both parametric and nonparametric models are discussed. The book contai…ns examples of nonlinear models in economic theory and presents the most common nonlinear time series models. Importantly, it shows the reader how to apply these models inpractice. For this purpose, the building of various nonlinear models with its three stages of model building: specification, estimation and evaluation, is discussed in detail and is illustrated by severalexamples involving both economic and non-economic data. Since estimation of nonlinear time series models is carried out using numerical algorithms, the book contains a chapter on estimating parametric nonlinear models and another on estimating nonparametric ones. Forecasting is a major reason for building time series models, linear or nonlinear. The book contains a discussion on forecasting with nonlinear models, both parametric and nonparametric, and considers numericaltechniques necessary for computing multi-period forecasts from them. The main focus of the book is on models of the conditional mean, but models of the conditional variance, mainly those ofautoregressive conditional heteroskedasticity, receive attention as well. A separate chapter is devoted to state space models. As a whole, the book is an indispensable tool for researchers interested in nonlinear time series and is also suitable for teaching courses in econometrics and time series analysis. This volume is a comprehensive assessment of many recent developments in the modelling of time series. The focus is on introducing various nonlinear models and discussing their practical use, and encouraging the reader to apply nonlinear models to their practical modelling problems. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Serie: Advanced Texts in Econometrics, Libro 26 de 26. Libro 26 de 26 - Advanced Texts in Econometrics
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Paperback. Condición: new. Paperback. This book contains an extensive up-to-date overview of nonlinear time series models and their application to modelling economic relationships. It considers nonlinear models in stationary and nonstationary frameworks, and both parametric and nonparametric models are discussed. The book contai…ns examples of nonlinear models in economic theory and presents the most common nonlinear time series models. Importantly, it shows the reader how to apply these models inpractice. For this purpose, the building of various nonlinear models with its three stages of model building: specification, estimation and evaluation, is discussed in detail and is illustrated by severalexamples involving both economic and non-economic data. Since estimation of nonlinear time series models is carried out using numerical algorithms, the book contains a chapter on estimating parametric nonlinear models and another on estimating nonparametric ones.Forecasting is a major reason for building time series models, linear or nonlinear. The book contains a discussion on forecasting with nonlinear models, both parametric and nonparametric, and considers numericaltechniques necessary for computing multi-period forecasts from them. The main focus of the book is on models of the conditional mean, but models of the conditional variance, mainly those ofautoregressive conditional heteroskedasticity, receive attention as well. A separate chapter is devoted to state space models. As a whole, the book is an indispensable tool for researchers interested in nonlinear time series and is also suitable for teaching courses in econometrics and time series analysis. This volume is a comprehensive assessment of many recent developments in the modelling of time series. The focus is on introducing various nonlinear models and discussing their practical use, and encouraging the reader to apply nonlinear models to their practical modelling problems. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Serie: Advanced Texts in Econometrics, Libro 26 de 26. Libro 26 de 26 - Advanced Texts in Econometrics
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Paperback. Condición: new. Paperback. This book contains an extensive up-to-date overview of nonlinear time series models and their application to modelling economic relationships. It considers nonlinear models in stationary and nonstationary frameworks, and both parametric and nonparametric models are discussed. The book contai…ns examples of nonlinear models in economic theory and presents the most common nonlinear time series models. Importantly, it shows the reader how to apply these models inpractice. For this purpose, the building of various nonlinear models with its three stages of model building: specification, estimation and evaluation, is discussed in detail and is illustrated by severalexamples involving both economic and non-economic data. Since estimation of nonlinear time series models is carried out using numerical algorithms, the book contains a chapter on estimating parametric nonlinear models and another on estimating nonparametric ones. Forecasting is a major reason for building time series models, linear or nonlinear. The book contains a discussion on forecasting with nonlinear models, both parametric and nonparametric, and considers numericaltechniques necessary for computing multi-period forecasts from them. The main focus of the book is on models of the conditional mean, but models of the conditional variance, mainly those ofautoregressive conditional heteroskedasticity, receive attention as well. A separate chapter is devoted to state space models. As a whole, the book is an indispensable tool for researchers interested in nonlinear time series and is also suitable for teaching courses in econometrics and time series analysis. This volume is a comprehensive assessment of many recent developments in the modelling of time series. The focus is on introducing various nonlinear models and discussing their practical use, and encouraging the reader to apply nonlinear models to their practical modelling problems. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Idioma: Inglés
Editorial: OUP Oxford, 2010
Serie: Advanced Texts in Econometrics, Libro 26 de 26. Libro 26 de 26 - Advanced Texts in Econometrics
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This volume is a comprehensive assessment of many recent developments in the modelling of time series. The focus is on introducing various nonlinear models and discussing their practical use, and encouraging the reade…r to apply nonlinear models to their pra.
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Editorial: Oxford University Press, 2011
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Condición: New. Print on Demand pp. 432.
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Serie: Advanced Texts in Econometrics, Libro 26 de 26. Libro 26 de 26 - Advanced Texts in Econometrics
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Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - A comprehensive assessment of many recent developments in the modelling of time series, this text introduces various nonlinear models and discusses their practical use, encouraging the reader to apply nonlinear models to their practical…modelling problems.
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Editorial: Oxford University Press, 2011
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Condición: New. PRINT ON DEMAND pp. 432.
Idioma: Inglés
Editorial: OUP Oxford, 2010
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Taschenbuch. Condición: Neu. Modelling Nonlinear Economic Time Series | Timo Terasvirta (u. a.) | Taschenbuch | Kartoniert / Broschiert | Englisch | 2010 | OUP Oxford | EAN 9780199587155 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
