9780199641178 - time series analysis by state space methods: 38 di durbin, the late james; koopman, siem jan (28 risultati)
Lingua: Inglese
Editore: Oxford University Press 2012
Serie: Oxford Statistical Science, Libro 7 di 8. Libro 7 di 8 - Oxford Statistical Science
- Rilegato
Da: Open Books, Chicago, IL, U.S.A.Open Books
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hardcover. Condizione: Very Good. Open Books is a nonprofit social venture that provides literacy experiences for thousands of readers each year through inspiring programs and creative capitalization of books.
Lingua: Inglese
Editore: Oxford University Press, Oxford 2012
Serie: Oxford Statistical Science, Libro 7 di 8. Libro 7 di 8 - Oxford Statistical Science
- Rilegato
Da: Second Story Books, ABAA, Rockville, MD, U.S.A.Second Story Books, ABAA
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Hardcover. Second edition, impression 4. Octavo, xxi, 346 pages. In Good condition. Spine is blue with white print. Boards in blue and red glossy paper, white print; light wear to spine caps and corners, light shelf wear. Illustrated: b&w graphs, tables. NOTE: Shelved in Netdesk Column BB. 1411013. FP New Rockville Stock.
Lingua: Inglese
Editore: Oxford University Press 2012
Serie: Oxford Statistical Science, Libro 7 di 8. Libro 7 di 8 - Oxford Statistical Science
- Rilegato
Da: Books From California, Simi Valley, CA, U.S.A.Books From California
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hardcover. Condizione: Very Good.
Lingua: Inglese
Editore: Oxford University Press 2012
Serie: Oxford Statistical Science, Libro 7 di 8. Libro 7 di 8 - Oxford Statistical Science
- Rilegato
Da: Books From California, Simi Valley, CA, U.S.A.Books From California
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hardcover. Condizione: Good. Cover boards are slightly bowing/bending. In otherwise great condition with minimal/no other wear, crisp & clean interiors showing unmarked text, and firm binding of the text block. A good reading copy.
Lingua: Inglese
Editore: Oxford University Press 2012
Serie: Oxford Statistical Science, Libro 7 di 8. Libro 7 di 8 - Oxford Statistical Science
- Rilegato
Da: Anybook.com, Lincoln, Regno UnitoAnybook.com
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Condizione: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In good all round condition. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,750grams, ISBN:9780199641178.
Lingua: Inglese
Editore: Oxford University Press 2012
Serie: Oxford Statistical Science, Libro 7 di 8. Libro 7 di 8 - Oxford Statistical Science
- Rilegato
Da: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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Condizione: New.
Lingua: Inglese
Editore: Oxford University Press 2012
Serie: Oxford Statistical Science, Libro 7 di 8. Libro 7 di 8 - Oxford Statistical Science
- Rilegato
Da: Ria Christie Collections, Uxbridge, Regno UnitoRia Christie Collections
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Condizione: New. In.
Lingua: Inglese
Editore: Oxford University Press 2012
Serie: Oxford Statistical Science, Libro 7 di 8. Libro 7 di 8 - Oxford Statistical Science
- Rilegato
Da: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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Condizione: As New. Unread book in perfect condition.
Lingua: Inglese
Editore: Oxford University Press 2012
Serie: Oxford Statistical Science, Libro 7 di 8. Libro 7 di 8 - Oxford Statistical Science
- Rilegato
Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
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Condizione: New.
Lingua: Inglese
Editore: Oxford University Press 2012
Serie: Oxford Statistical Science, Libro 7 di 8. Libro 7 di 8 - Oxford Statistical Science
- Rilegato
Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
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EUR 145,72
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Condizione: As New. Unread book in perfect condition.
Lingua: Inglese
Editore: Oxford University Press 2012
Serie: Oxford Statistical Science, Libro 7 di 8. Libro 7 di 8 - Oxford Statistical Science
- Rilegato
Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, IrlandaKennys Bookshop and Art Galleries Ltd.
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Condizione: New. This new edition updates Durbin & Koopman's important text on the state space approach to time series analysis providing a more comprehensive treatment, including the filtering of nonlinear and non-Gaussian series. The book provides an excellent source for the development of practical courses on time series anal…ysis. Series: Oxford Statistical Science Series. Num Pages: 368 pages, 34 b/w illustrations. BIC Classification: PBT. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 236 x 162 x 25. Weight in Grams: 678. . 2012. 2nd Edition. Hardcover. . . . .
Lingua: Inglese
Editore: Oxford University Press, GB 2012
Serie: Oxford Statistical Science, Libro 7 di 8. Libro 7 di 8 - Oxford Statistical Science
- Rilegato
Da: Rarewaves.com USA, London, LONDO, Regno UnitoRarewaves.com USA
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Hardback. Condizione: New. This new edition updates Durbin and Koopman's important text on the state space approach to time series analysis. The distinguishing feature of state space time series models is that observations are regarded as made up of distinct components such as trend, seasonal, regression elements and disturbance… terms, each of which is modelled separately. The techniques that emerge from this approach are very flexible and are capable of handling a much wider range of problems than the main analytical system currently in use for time series analysis, the Box-Jenkins ARIMA system. Additions to this second edition include the filtering of nonlinear and non-Gaussian series.Part I of the book obtains the mean and variance of the state, of a variable intended to measure the effect of an interaction and of regression coefficients, in terms of the observations.Part II extends the treatment to nonlinear and non-normal models. For these, analytical solutions are not available so methods are based on simulation.
Lingua: Inglese
Editore: Oxford University Press, GB 2012
Serie: Oxford Statistical Science, Libro 7 di 8. Libro 7 di 8 - Oxford Statistical Science
- Rilegato
Da: Rarewaves USA, OSWEGO, IL, U.S.A.Rarewaves USA
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Hardback. Condizione: New. This new edition updates Durbin and Koopman's important text on the state space approach to time series analysis. The distinguishing feature of state space time series models is that observations are regarded as made up of distinct components such as trend, seasonal, regression elements and disturbance… terms, each of which is modelled separately. The techniques that emerge from this approach are very flexible and are capable of handling a much wider range of problems than the main analytical system currently in use for time series analysis, the Box-Jenkins ARIMA system. Additions to this second edition include the filtering of nonlinear and non-Gaussian series.Part I of the book obtains the mean and variance of the state, of a variable intended to measure the effect of an interaction and of regression coefficients, in terms of the observations.Part II extends the treatment to nonlinear and non-normal models. For these, analytical solutions are not available so methods are based on simulation.
Lingua: Inglese
Editore: Oxford University Press 2012
Serie: Oxford Statistical Science, Libro 7 di 8. Libro 7 di 8 - Oxford Statistical Science
- Rilegato
Da: Kennys Bookstore, Olney, MD, U.S.A.Kennys Bookstore
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Condizione: New. This new edition updates Durbin & Koopman's important text on the state space approach to time series analysis providing a more comprehensive treatment, including the filtering of nonlinear and non-Gaussian series. The book provides an excellent source for the development of practical courses on time series anal…ysis. Series: Oxford Statistical Science Series. Num Pages: 368 pages, 34 b/w illustrations. BIC Classification: PBT. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 236 x 162 x 25. Weight in Grams: 678. . 2012. 2nd Edition. Hardcover. . . . . Books ship from the US and Ireland.
Lingua: Inglese
Editore: Oxford Univ Pr 2012
Serie: Oxford Statistical Science, Libro 7 di 8. Libro 7 di 8 - Oxford Statistical Science
- Rilegato
Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books
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Hardcover. Condizione: Brand New. 2nd revised edition edition. 346 pages. 9.50x6.50x1.00 inches. In Stock.
Lingua: Inglese
Editore: Oxford University Press, GB 2012
Serie: Oxford Statistical Science, Libro 7 di 8. Libro 7 di 8 - Oxford Statistical Science
- Rilegato
Da: Rarewaves USA United, OSWEGO, IL, U.S.A.Rarewaves USA United
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Hardback. Condizione: New. This new edition updates Durbin and Koopman's important text on the state space approach to time series analysis. The distinguishing feature of state space time series models is that observations are regarded as made up of distinct components such as trend, seasonal, regression elements and disturbance… terms, each of which is modelled separately. The techniques that emerge from this approach are very flexible and are capable of handling a much wider range of problems than the main analytical system currently in use for time series analysis, the Box-Jenkins ARIMA system. Additions to this second edition include the filtering of nonlinear and non-Gaussian series.Part I of the book obtains the mean and variance of the state, of a variable intended to measure the effect of an interaction and of regression coefficients, in terms of the observations.Part II extends the treatment to nonlinear and non-normal models. For these, analytical solutions are not available so methods are based on simulation.
Lingua: Inglese
Editore: Oxford University Press, GB 2012
Serie: Oxford Statistical Science, Libro 7 di 8. Libro 7 di 8 - Oxford Statistical Science
- Rilegato
Da: Rarewaves.com UK, London, Regno UnitoRarewaves.com UK
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Hardback. Condizione: New. This new edition updates Durbin and Koopman's important text on the state space approach to time series analysis. The distinguishing feature of state space time series models is that observations are regarded as made up of distinct components such as trend, seasonal, regression elements and disturbance… terms, each of which is modelled separately. The techniques that emerge from this approach are very flexible and are capable of handling a much wider range of problems than the main analytical system currently in use for time series analysis, the Box-Jenkins ARIMA system. Additions to this second edition include the filtering of nonlinear and non-Gaussian series.Part I of the book obtains the mean and variance of the state, of a variable intended to measure the effect of an interaction and of regression coefficients, in terms of the observations.Part II extends the treatment to nonlinear and non-normal models. For these, analytical solutions are not available so methods are based on simulation.
Lingua: Inglese
Editore: Oxford University Press (UK) 2017
Serie: Oxford Statistical Science, Libro 7 di 8. Libro 7 di 8 - Oxford Statistical Science
- Rilegato
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Da: PBShop.store US, Wood Dale, IL, U.S.A.PBShop.store US
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HRD. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Lingua: Inglese
Editore: Oxford University Press 2012
Serie: Oxford Statistical Science, Libro 7 di 8. Libro 7 di 8 - Oxford Statistical Science
- Rilegato
- Print on Demand
Da: PBShop.store UK, Fairford, GLOS, Regno UnitoPBShop.store UK
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HRD. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Lingua: Inglese
Editore: Oxford University Press 2012
Serie: Oxford Statistical Science, Libro 7 di 8. Libro 7 di 8 - Oxford Statistical Science
- Rilegato
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Da: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand
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Condizione: new. Questo è un articolo print on demand.
Lingua: Inglese
Editore: Oxford University Press, Oxford 2012
Serie: Oxford Statistical Science, Libro 7 di 8. Libro 7 di 8 - Oxford Statistical Science
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Da: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail
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Hardcover. Condizione: new. Hardcover. This new edition updates Durbin & Koopman's important text on the state space approach to time series analysis. The distinguishing feature of state space time series models is that observations are regarded as made up of distinct components such as trend, seasonal, regression elements and d…isturbance terms, each of which is modelled separately. The techniques that emerge from this approach are very flexible and are capable of handling a much wider range ofproblems than the main analytical system currently in use for time series analysis, the Box-Jenkins ARIMA system. Additions to this second edition include the filtering of nonlinear and non-Gaussianseries.Part I of the book obtains the mean and variance of the state, of a variable intended to measure the effect of an interaction and of regression coefficients, in terms of the observations.Part II extends the treatment to nonlinear and non-normal models. For these, analytical solutions are not available so methods are based on simulation. This new edition updates Durbin & Koopman's important text on the state space approach to time series analysis providing a more comprehensive treatment, including the filtering of nonlinear and non-Gaussian series. The book provides an excellent source for the development of practical courses on time series analysis. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Lingua: Inglese
Editore: Oxford University Press OUP 2012
Serie: Oxford Statistical Science, Libro 7 di 8. Libro 7 di 8 - Oxford Statistical Science
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Da: Books Puddle, New York, NY, U.S.A.Books Puddle
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Condizione: New. Print on Demand pp. 400 2nd Edition.
Lingua: Inglese
Editore: Oxford University Press 2012
Serie: Oxford Statistical Science, Libro 7 di 8. Libro 7 di 8 - Oxford Statistical Science
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Hardback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
Lingua: Inglese
Editore: Oxford University Press 2012
Serie: Oxford Statistical Science, Libro 7 di 8. Libro 7 di 8 - Oxford Statistical Science
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Da: Majestic Books, Hounslow, Regno UnitoMajestic Books
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Condizione: New. Print on Demand pp. 400 34 Illus.
Lingua: Inglese
Editore: Oxford University Press, Oxford 2012
Serie: Oxford Statistical Science, Libro 7 di 8. Libro 7 di 8 - Oxford Statistical Science
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Da: CitiRetail, Stevenage, Regno UnitoCitiRetail
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Hardcover. Condizione: new. Hardcover. This new edition updates Durbin & Koopman's important text on the state space approach to time series analysis. The distinguishing feature of state space time series models is that observations are regarded as made up of distinct components such as trend, seasonal, regression elements and d…isturbance terms, each of which is modelled separately. The techniques that emerge from this approach are very flexible and are capable of handling a much wider range ofproblems than the main analytical system currently in use for time series analysis, the Box-Jenkins ARIMA system. Additions to this second edition include the filtering of nonlinear and non-Gaussianseries.Part I of the book obtains the mean and variance of the state, of a variable intended to measure the effect of an interaction and of regression coefficients, in terms of the observations.Part II extends the treatment to nonlinear and non-normal models. For these, analytical solutions are not available so methods are based on simulation. This new edition updates Durbin & Koopman's important text on the state space approach to time series analysis providing a more comprehensive treatment, including the filtering of nonlinear and non-Gaussian series. The book provides an excellent source for the development of practical courses on time series analysis. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Lingua: Inglese
Editore: Oxford University Press 2012
Serie: Oxford Statistical Science, Libro 7 di 8. Libro 7 di 8 - Oxford Statistical Science
- Rilegato
- Print on Demand
Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios
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Condizione: New. PRINT ON DEMAND pp. 400.
Lingua: Inglese
Editore: Oxford University Press 2012
Serie: Oxford Statistical Science, Libro 7 di 8. Libro 7 di 8 - Oxford Statistical Science
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Da: moluna, Greven, Germaniamoluna
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Gebunden. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This new edition updates Durbin & Koopman s important text on the state space approach to time series analysis providing a more comprehensive treatment, including the filtering of nonlinear and non-Gaussian… series. The book provides an excellent source for .
Lingua: Inglese
Editore: Oxford University Press (UK) 2012
Serie: Oxford Statistical Science, Libro 7 di 8. Libro 7 di 8 - Oxford Statistical Science
- Rilegato
- Print on Demand
Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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Buch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This new edition updates Durbin & Koopman's important text on the state space approach to time series analysis. The distinguishing feature of state space time series models is that observations are regarded as made up of distinct components su…ch as trend, seasonal, regression elements and disturbance terms, each of which is modelled separately. The techniques that emerge from this approach are very flexible and are capable of handling a much wider range of problems than the main analytical system currently in use for time series analysis, the Box-Jenkins ARIMA system. Additions to this second edition include the filtering of nonlinear and non-Gaussian series.Part I of the book obtains the mean and variance of the state, of a variable intended to measure the effect of an interaction and of regression coefficients, in terms of the observations.Part II extends the treatment to nonlinear and non-normal models. For these, analytical solutions are not available so methods are based on simulation.
