Elements of Nonlinear Time Series Analysis and Forecasting
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ISBN 10: 3319432532 ISBN 13: 9783319432533
Edité par -, 2017
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Elements of Nonlinear Time Series Analysis and Forecasting This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping. N° de réf. du vendeur 7719-9783319432533
Synopsis :
This book provides an overview of the current state-of-the-art of nonlinear time series analysis, richly illustrated with examples, pseudocode algorithms and real-world applications. Avoiding a "theorem-proof" format, it shows concrete applications on a variety of empirical time series. The book can be used in graduate courses in nonlinear time series and at the same time also includes interesting material for more advanced readers. Though it is largely self-contained, readers require an understanding of basic linear time series concepts, Markov chains and Monte Carlo simulation methods.
The book covers time-domain and frequency-domain methods for the analysis of both univariate and multivariate (vector) time series. It makes a clear distinction between parametric models on the one hand, and semi- and nonparametric models/methods on the other. This offers the reader the option of concentrating exclusively on one of these nonlinear time series analysis methods.
To make the book as user friendly as possible, major supporting concepts and specialized tables are appended at the end of every chapter. In addition, each chapter concludes with a set of key terms and concepts, as well as a summary of the main findings. Lastly, the book offers numerous theoretical and empirical exercises, with answers provided by the author in an extensive solutions manual.
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Titre : Elements of Nonlinear Time Series Analysis ...
Éditeur : -
Date d'édition : 2017
Reliure : paperback
Etat : Very Good
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Elements of Nonlinear Time Series Analysis and Forecasting
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Springer International Publishing, 2018
ISBN 10 : 3319827707
ISBN 13 : 9783319827704
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents a detailed, almost encyclopedic account of nonlinear time series analysis Shows concrete applications of modern nonlinear time series analysis on a variety of empirical time series, with a liberal use of color graphics . N° de réf. du vendeur 448757256
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Elements of Nonlinear Time Series Analysis and Forecasting
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Springer International Publishing, 2017
ISBN 10 : 3319432516
ISBN 13 : 9783319432519
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Gebunden. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents a detailed, almost encyclopedic account of nonlinear time series analysis Shows concrete applications of modern nonlinear time series analysis on a variety of empirical time series, with a liberal use of color graphics . N° de réf. du vendeur 123001465
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Elements of Nonlinear Time Series Analysis and Forecasting (Springer Series in Statistics)
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Elements of Nonlinear Time Series Analysis and Forecasting
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Springer Nature Switzerland, 2018
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Taschenbuch. Etat : Neu. Elements of Nonlinear Time Series Analysis and Forecasting | Jan G. De Gooijer | Taschenbuch | xxi | Englisch | 2018 | Springer Nature Switzerland | EAN 9783319827704 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. N° de réf. du vendeur 114237576
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Elements of Nonlinear Time Series Analysis and Forecasting
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Buch. Etat : Neu. Elements of Nonlinear Time Series Analysis and Forecasting | Jan G. De Gooijer | Buch | xxi | Englisch | 2017 | Springer Nature Switzerland | EAN 9783319432519 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand. N° de réf. du vendeur 108834049
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Elements of Nonlinear Time Series Analysis and Forecasting (Springer Series in Statistics)
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Elements of Nonlinear Time Series Analysis and Forecasting
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Springer International Publishing, Springer Nature Switzerland, 2018
ISBN 10 : 3319827707
ISBN 13 : 9783319827704
Neuf
Taschenbuch
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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides an overview of the current state-of-the-art of nonlinear time series analysis,richly illustrated with examples, pseudocode algorithms and real-world applications. Avoiding a'theorem-proof' format, it shows concrete applications on a variety of empirical time series. Thebook can be used in graduate courses in nonlinear time series and at the same time also includesinteresting material for more advanced readers. Though it is largely self-contained, readers requirean understanding of basic linear time series concepts, Markov chains and Monte Carlo simulationmethods.The book covers time-domain and frequency-domain methods for the analysis of both univariate and multivariate (vector) time series. It makes a clear distinction between parametric models on the one hand, and semi- and nonparametric models/methods on the other. This offers the reader the option of concentrating exclusively on one of these nonlinear time series analysis methods.To make the book as user friendly as possible, major supporting concepts and specialized tables are appended at the end ofevery chapter. In addition, each chapter concludes with a set of key terms and concepts, as well as a summary of the main findings. Lastly, the book offers numerous theoretical and empirical exercises, with answers provided by the author in an extensive solutions manual. N° de réf. du vendeur 9783319827704
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Elements of Nonlinear Time Series Analysis and Forecasting
ISBN 10 : 3319827707
ISBN 13 : 9783319827704
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Taschenbuch. Etat : Neu. Neuware -This book provides an overview of the current state-of-the-art of nonlinear time series analysis, richly illustrated with examples, pseudocode algorithms and real-world applications. Avoiding a ¿theorem-proof¿ format, it shows concrete applications on a variety of empirical time series. The book can be used in graduate courses in nonlinear time series and at the same time also includes interesting material for more advanced readers. Though it is largely self-contained, readers require an understanding of basic linear time series concepts, Markov chains and Monte Carlo simulation methods.The book covers time-domain and frequency-domain methods for the analysis of both univariate and multivariate (vector) time series. It makes a clear distinction between parametric models on the one hand, and semi- and nonparametric models/methods on the other. This offers the reader the option of concentrating exclusively on one of these nonlinear time series analysis methods.To make the book as user friendly as possible, major supporting concepts and specialized tables are appended at the end of every chapter. In addition, each chapter concludes with a set of key terms and concepts, as well as a summary of the main findings. Lastly, the book offers numerous theoretical and empirical exercises, with answers provided by the author in an extensive solutions manual.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 640 pp. Englisch. N° de réf. du vendeur 9783319827704
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