9780367570583 - state-space methods for time series analysis: theory, applications and software di casals, jose; garcia-hiernaux, alfredo; jerez, miguel; sotoca, sonia; trindade, a. alexandre (14 risultati)
State-space Methods for Time Series Analysis : Theory, Applications and Software
Casals, Jose; Garcia-hiernaux, Alfredo; Jerez, Miguel; Sotoca, Sonia; Trindade, A. Alexandre
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Da: GreatBookPrices, Columbia, U.S.A.GreatBookPrices
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State-space Methods for Time Series Analysis : Theory, Applications and Software
Casals, Jose; Garcia-hiernaux, Alfredo; Jerez, Miguel; Sotoca, Sonia; Trindade, A. Alexandre
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Da: GreatBookPrices, Columbia, U.S.A.GreatBookPrices
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State-Space Methods for Time Series Analysis: Theory, Applications and Software
Casals, Jose; Garcia-Hiernaux, Alfredo; Jerez, Miguel; Sotoca, Sonia; Trindade, A. Alexandre
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Da: Majestic Books, Hounslow, Regno UnitoMajestic Books
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Condizione: New. pp. 298.
State-Space Methods for Time Series Analysis: Theory, Applications and Software
Casals, Jose; Garcia-Hiernaux, Alfredo; Jerez, Miguel; Sotoca, Sonia; Trindade, A. Alexandre
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Da: Books Puddle, New York, U.S.A.Books Puddle
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Condizione: New. pp. 298.
State-space Methods for Time Series Analysis : Theory, Applications and Software
Casals, Jose; Garcia-hiernaux, Alfredo; Jerez, Miguel; Sotoca, Sonia; Trindade, A. Alexandre
- Brossura
Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
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State-space Methods for Time Series Analysis : Theory, Applications and Software
Casals, Jose; Garcia-hiernaux, Alfredo; Jerez, Miguel; Sotoca, Sonia; Trindade, A. Alexandre
- Brossura
Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
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EUR 74,39
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Condizione: New.
Lingua: Inglese
Editore: Taylor & Francis Ltd 2020
Serie: ISSN, Libro 94 di 110. Libro 94 di 110 - ISSN
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Da: THE SAINT BOOKSTORE, Southport, Regno UnitoTHE SAINT BOOKSTORE
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Paperback / softback. Condizione: New. New copy - Usually dispatched within 4 working days.
State-Space Methods for Time Series Analysis (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)
Casals, Jose; Garcia-Hiernaux, Alfredo; Jerez, Miguel; Sotoca, Sonia; Trindade, A. Alexandre
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Da: Ria Christie Collections, Uxbridge, Regno UnitoRia Christie Collections
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State-Space Methods for Time Series Analysis: Theory, Applications and Software
Casals, Jose; Garcia-Hiernaux, Alfredo; Jerez, Miguel; Sotoca, Sonia; Trindade, A. Alexandre
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Da: Biblios, frankfurt am main, GermaniaBiblios
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Condizione: New. pp. 298.
State-space Methods for Time Series Analysis: Theory, Applications and Software
Casals, Jose/ Garcia-hiernaux, Alfredo/ Jerez, Miguel/ Sotoca, Sonia/ Trindade, A. Alexandre
- Brossura
Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books
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Paperback. Condizione: Brand New. 298 pages. 9.21x6.14x0.59 inches. In Stock.
Lingua: Inglese
Editore: Chapman and Hall/CRC 2020
Serie: ISSN, Libro 94 di 110. Libro 94 di 110 - ISSN
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Da: preigu, Osnabrück, Germaniapreigu
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Taschenbuch. Condizione: Neu. State-Space Methods for Time Series Analysis | Theory, Applications and Software | Jose Casals (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2020 | Chapman and Hall/CRC | EAN 9780367570583 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]l…ibri[dot]de | Anbieter: preigu.
Lingua: Inglese
Editore: Chapman And Hall/CRC Jun 2020 2020
Serie: ISSN, Libro 94 di 110. Libro 94 di 110 - ISSN
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- Print on Demand
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The state-space approach provides a formal framework where any result or procedure developed for a basic model can be seamlessly applied to a standard formulation written in state-space form. Moreover, it can accommodate with a rea…sonable effort nonstandard situations, such as observation errors, aggregation constraints, or missing in-sample values.Exploring the advantages of this approach, State-Space Methods for Time Series Analysis: Theory, Applications and Software presents many computational procedures that can be applied to a previously specified linear model in state-space form. After discussing the formulation of the state-space model, the book illustrates the flexibility of the state-space representation and covers the main state estimation algorithms: filtering and smoothing. It then shows how to compute the Gaussian likelihood for unknown coefficients in the state-space matrices of a given model before introducing subspace methods and their application. It also discusses signal extraction, describes two algorithms to obtain the VARMAX matrices corresponding to any linear state-space model, and addresses several issues relating to the aggregation and disaggregation of time series. The book concludes with a cross-sectional extension to the classical state-space formulation in order to accommodate longitudinal or panel data. Missing data is a common occurrence here, and the book explains imputation procedures necessary to treat missingness in both exogenous and endogenous variables.Web ResourceThe authors' E4 MATLAB® toolbox offers all the computational procedures, administrative and analytical functions, and related materials for time series analysis. This flexible, powerful, and free software tool enables readers to replicate the practical examples in the text and apply the procedures to their own work. 298 pp. Englisch.
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Da: moluna, Greven, Germaniamoluna
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Jose Casals is head of global risk management at Bankia. He is also an associate professor of econometrics at Universidad Complutense de Madrid.Alfredo Garcia-Hiernaux is an associate professor of econometrics at Uni…versida.
Lingua: Inglese
Editore: Chapman And Hall/CRC 2020
Serie: ISSN, Libro 94 di 110. Libro 94 di 110 - ISSN
- Brossura
- Print on Demand
Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The state-space approach provides a formal framework where any result or procedure developed for a basic model can be seamlessly applied to a standard formulation written in state-space form. Moreover, it can accommodate with a reasonab…le effort nonstandard situations, such as observation errors, aggregation constraints, or missing in-sample values.Exploring the advantages of this approach, State-Space Methods for Time Series Analysis: Theory, Applications and Software presents many computational procedures that can be applied to a previously specified linear model in state-space form. After discussing the formulation of the state-space model, the book illustrates the flexibility of the state-space representation and covers the main state estimation algorithms: filtering and smoothing. It then shows how to compute the Gaussian likelihood for unknown coefficients in the state-space matrices of a given model before introducing subspace methods and their application. It also discusses signal extraction, describes two algorithms to obtain the VARMAX matrices corresponding to any linear state-space model, and addresses several issues relating to the aggregation and disaggregation of time series. The book concludes with a cross-sectional extension to the classical state-space formulation in order to accommodate longitudinal or panel data. Missing data is a common occurrence here, and the book explains imputation procedures necessary to treat missingness in both exogenous and endogenous variables.Web ResourceThe authors' E4 MATLAB® toolbox offers all the computational procedures, administrative and analytical functions, and related materials for time series analysis. This flexible, powerful, and free software tool enables readers to replicate the practical examples in the text and apply the procedures to their own work.
