Signal Extraction for Linear State-Space Models: Including a free MATLAB Toolbox for Time Series Modeling and Decomposition
Miguel Jerez
ISBN 10: 3845402849 ISBN 13: 9783845402840
Editorial: LAP LAMBERT Academic Publishing, 2011
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112 pages. 8.66x5.91x0.26 inches. In Stock. N° de ref. del artículo 3845402849
Sinopsis:
This monograph discusses the decomposition of a vector of time series, described by a linear state-space model, into trend, cyclical, seasonal, irregular and input-related components. The representation and signal-extraction methods employed provide unique advantages, notably the ability to decompose single or multiple time series, the lack of revisions as the sample increases or the independence of the method from specific model formulations. Besides a complete and self-contained presentation of this subject, this text emphasizes in the practical application of the methods described. To this end, each chapter includes several examples of the methods proposed and Appendix A provides a broad description of E4, a free MATLAB Toolbox for time series analysis that can be freely downloaded from www.ucm.es/info/icae/e4. An Appendix provides the source code and data references required to replicate all the practical examples.
Reseña del editor: This monograph discusses the decomposition of a vector of time series, described by a linear state-space model, into trend, cyclical, seasonal, irregular and input-related components. The representation and signal-extraction methods employed provide unique advantages, notably the ability to decompose single or multiple time series, the lack of revisions as the sample increases or the independence of the method from specific model formulations. Besides a complete and self-contained presentation of this subject, this text emphasizes in the practical application of the methods described. To this end, each chapter includes several examples of the methods proposed and Appendix A provides a broad description of E4, a free MATLAB Toolbox for time series analysis that can be freely downloaded from www.ucm.es/info/icae/e4. An Appendix provides the source code and data references required to replicate all the practical examples.
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Título: Signal Extraction for Linear State-Space ...
Editorial: LAP LAMBERT Academic Publishing
Año de publicación: 2011
Encuadernación: Paperback
Condición: Brand New
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Signal Extraction for Linear State-Space Models
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LAP LAMBERT Academic Publishing, 2011
ISBN 10: 3845402849
ISBN 13: 9783845402840
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Jerez MiguelTeaches Econometrics at Universidad Complutense de Madrid. He is engaged with his colleagues Jose Casals and Sonia Sotoca in a long-term project to apply state-space methods to standard econometric problems. An output of . Nº de ref. del artículo: 5480442
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Signal Extraction for Linear State-Space Models | Including a free MATLAB Toolbox for Time Series Modeling and Decomposition
Publicado por
LAP LAMBERT Academic Publishing, 2011
ISBN 10: 3845402849
ISBN 13: 9783845402840
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Taschenbuch. Condición: Neu. Signal Extraction for Linear State-Space Models | Including a free MATLAB Toolbox for Time Series Modeling and Decomposition | Miguel Jerez (u. a.) | Taschenbuch | 112 S. | Englisch | 2011 | LAP LAMBERT Academic Publishing | EAN 9783845402840 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu Print on Demand. Nº de ref. del artículo: 106896442
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Signal Extraction for Linear State-Space Models
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LAP LAMBERT Academic Publishing Jul 2011, 2011
ISBN 10: 3845402849
ISBN 13: 9783845402840
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Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This monograph discusses the decomposition of a vector of time series, described by a linear state-space model, into trend, cyclical, seasonal, irregular and input-related components. The representation and signal-extraction methods employed provide unique advantages, notably the ability to decompose single or multiple time series, the lack of revisions as the sample increases or the independence of the method from specific model formulations. Besides a complete and self-contained presentation of this subject, this text emphasizes in the practical application of the methods described. To this end, each chapter includes several examples of the methods proposed and Appendix A provides a broad description of E4, a free MATLAB Toolbox for time series analysis that can be freely downloaded from ucm.es/info/icae/e4. An Appendix provides the source code and data references required to replicate all the practical examples.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 112 pp. Englisch. Nº de ref. del artículo: 9783845402840
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Signal Extraction for Linear State-Space Models
Publicado por
LAP LAMBERT Academic Publishing Jul 2011, 2011
ISBN 10: 3845402849
ISBN 13: 9783845402840
Nuevo
Taschenbuch
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This monograph discusses the decomposition of a vector of time series, described by a linear state-space model, into trend, cyclical, seasonal, irregular and input-related components. The representation and signal-extraction methods employed provide unique advantages, notably the ability to decompose single or multiple time series, the lack of revisions as the sample increases or the independence of the method from specific model formulations. Besides a complete and self-contained presentation of this subject, this text emphasizes in the practical application of the methods described. To this end, each chapter includes several examples of the methods proposed and Appendix A provides a broad description of E4, a free MATLAB Toolbox for time series analysis that can be freely downloaded from ucm.es/info/icae/e4. An Appendix provides the source code and data references required to replicate all the practical examples. 112 pp. Englisch. Nº de ref. del artículo: 9783845402840
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Signal Extraction for Linear State-Space Models : Including a free MATLAB Toolbox for Time Series Modeling and Decomposition
Publicado por
LAP LAMBERT Academic Publishing, 2011
ISBN 10: 3845402849
ISBN 13: 9783845402840
Nuevo
Taschenbuch
Librería: AHA-BUCH GmbH, Einbeck, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This monograph discusses the decomposition of a vector of time series, described by a linear state-space model, into trend, cyclical, seasonal, irregular and input-related components. The representation and signal-extraction methods employed provide unique advantages, notably the ability to decompose single or multiple time series, the lack of revisions as the sample increases or the independence of the method from specific model formulations. Besides a complete and self-contained presentation of this subject, this text emphasizes in the practical application of the methods described. To this end, each chapter includes several examples of the methods proposed and Appendix A provides a broad description of E4, a free MATLAB Toolbox for time series analysis that can be freely downloaded from ucm.es/info/icae/e4. An Appendix provides the source code and data references required to replicate all the practical examples. Nº de ref. del artículo: 9783845402840
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