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Synopsis
This text is concerned with Bayesian learning, inference and forecasting in dynamic environments. We describe the structure and theory of classes of dynamic models and their uses in forecasting and time series analysis. The principles, models and methods of Bayesian forecasting and time - ries analysis have been developed extensively during the last thirty years. Thisdevelopmenthasinvolvedthoroughinvestigationofmathematicaland statistical aspects of forecasting models and related techniques. With this has come experience with applications in a variety of areas in commercial, industrial, scienti?c, and socio-economic ?elds. Much of the technical - velopment has been driven by the needs of forecasting practitioners and applied researchers. As a result, there now exists a relatively complete statistical and mathematical framework, presented and illustrated here. In writing and revising this book, our primary goals have been to present a reasonably comprehensive view of Bayesian ideas and methods in m- elling and forecasting, particularly to provide a solid reference source for advanced university students and research workers.
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- ÉditeurSpringer-Verlag New York Inc.
- Date d'édition1997
- ISBN 10 0387947256
- ISBN 13 9780387947259
- ReliureRelié
- Langueanglais
- Numéro d'édition2
- Nombre de pages682
- Coordonnées du fabricantnon disponible
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Bayesian Forecasting and Dynamic Models Springer Series in Statistics
Edité par
Springer, 1997
ISBN 10 : 0387947256
ISBN 13 : 9780387947259
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Vendeur : books4less (Versandantiquariat Petra Gros GmbH & Co. KG), Welling, Allemagne
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gebundene Ausgabe. Etat : Gut. 2. Auflage;. 680 Seiten Der Erhaltungszustand des hier angebotenen Werks ist trotz seiner Bibliotheksnutzung sehr sauber und kann entsprechende Merkmale aufweisen (Rückenschild, Instituts-Stempel.). In ENGLISCHER Sprache. Sprache: Englisch Gewicht in Gramm: 1120. N° de réf. du vendeur 2157588
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Bayesian Forecasting and Dynamic Models
Edité par
Springer, New York, 1997
ISBN 10 : 0387947256
ISBN 13 : 9780387947259
Ancien ou d'occasion
Couverture rigide
Vendeur : Attic Books (ABAC, ILAB), London, ON, Canada
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Hardcover. Etat : As new. Second Edition. Springer Series in Statistics. xiv, 680, [1] p. 24 cm. 115 figures. Yellow hardcover. Topics: the dynamic linear model; DLM theory; polynomial trend, seasonal, regression, autoregression, and related models; multi-process models; non-linear dynamic models; exponential family dynamic models; multivariate modelling and forecasting; distribution theory and linear algebra; etc. Bibliography and index. N° de réf. du vendeur 116416
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Bayesian Forecasting and Dynamic Models (Springer Series in Statistics)
Edité par
Springer, 1997
ISBN 10 : 0387947256
ISBN 13 : 9780387947259
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Vendeur : Studibuch, Stuttgart, Allemagne
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hardcover. Etat : Gut. 696 Seiten; 9780387947259.3 Gewicht in Gramm: 2. N° de réf. du vendeur 912849
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Bayesian Forecasting and Dynamic Models (Springer Series in Statistics)
Edité par
Springer, 1997
ISBN 10 : 0387947256
ISBN 13 : 9780387947259
Ancien ou d'occasion
Couverture rigide
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Hardcover. Etat : As New. No Jacket. 2nd Edition. This is a fine, as new, hardcover second edition copy, no DJ, pale brown spine. N° de réf. du vendeur 103792
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Bayesian Forecasting and Dynamic Models (Springer Series in Statistics)
Edité par
Springer, 1997
ISBN 10 : 0387947256
ISBN 13 : 9780387947259
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Couverture rigide
Vendeur : Anybook.com, Lincoln, Royaume-Uni
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Etat : 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,1150grams, ISBN:9780387947259. N° de réf. du vendeur 5845159
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Bayesian Forecasting and Dynamic Models
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Springer New York, 1997
ISBN 10 : 0387947256
ISBN 13 : 9780387947259
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This text is concerned with Bayesian learning, inference and forecasting in dynamic environments. We describe the structure and theory of classes of dynamic models and their uses in forecasting and time series analysis. The principles, models and methods of. N° de réf. du vendeur 5912159
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Bayesian Forecasting and Dynamic Models
Edité par
Springer, 1997
ISBN 10 : 0387947256
ISBN 13 : 9780387947259
Ancien ou d'occasion
Couverture rigide
Vendeur : Anybook.com, Lincoln, Royaume-Uni
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Etat : Fair. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In fair condition, suitable as a study copy. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,1200grams, ISBN:9780387947259. N° de réf. du vendeur 4138256
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Bayesian Forecasting and Dynamic Models (Springer Series in Statistics)
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Etat : New. In English. N° de réf. du vendeur ria9780387947259_new
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Bayesian Forecasting and Dynamic Models
Edité par
Springer New York Jan 1997, 1997
ISBN 10 : 0387947256
ISBN 13 : 9780387947259
Neuf
Couverture rigide
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This text is concerned with Bayesian learning, inference and forecasting in dynamic environments. We describe the structure and theory of classes of dynamic models and their uses in forecasting and time series analysis. The principles, models and methods of Bayesian forecasting and time - ries analysis have been developed extensively during the last thirty years. Thisdevelopmenthasinvolvedthoroughinvestigationofmathematicaland statistical aspects of forecasting models and related techniques. With this has come experience with applications in a variety of areas in commercial, industrial, scienti c, and socio-economic elds. Much of the technical - velopment has been driven by the needs of forecasting practitioners and applied researchers. As a result, there now exists a relatively complete statistical and mathematical framework, presented and illustrated here. In writing and revising this book, our primary goals have been to present a reasonably comprehensive view of Bayesian ideas and methods in m- elling and forecasting, particularly to provide a solid reference source for advanced university students and research workers. 700 pp. Englisch. N° de réf. du vendeur 9780387947259
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Bayesian Forecasting and Dynamic Models
Edité par
Springer New York, Springer US Jan 1997, 1997
ISBN 10 : 0387947256
ISBN 13 : 9780387947259
Neuf
Couverture rigide
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Buch. Etat : Neu. Neuware -This text is concerned with Bayesian learning, inference and forecasting in dynamic environments. We describe the structure and theory of classes of dynamic models and their uses in forecasting and time series analysis. The principles, models and methods of Bayesian forecasting and time - ries analysis have been developed extensively during the last thirty years. Thisdevelopmenthasinvolvedthoroughinvestigationofmathematicaland statistical aspects of forecasting models and related techniques. With this has come experience with applications in a variety of areas in commercial, industrial, scienti c, and socio-economic elds. Much of the technical - velopment has been driven by the needs of forecasting practitioners and applied researchers. As a result, there now exists a relatively complete statistical and mathematical framework, presented and illustrated here. In writing and revising this book, our primary goals have been to present a reasonably comprehensive view of Bayesian ideas and methods in m- elling and forecasting, particularly to provide a solid reference source for advanced university students and research workers.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 700 pp. Englisch. N° de réf. du vendeur 9780387947259
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