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9780387947259 - Bayesian Forecasting and Dynamic Models di West, Mike; Harrison, Jeff (23 risultati)
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Bayesian Forecasting and Dynamic Models
Libro 34 di 160: Springer Series in StatisticsDa: Better World Books Ltd, Dunfermline, Regno Unito
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EUR 69,58
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Aggiungi al carrelloCondizione: Good. Former library copy. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.
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Bayesian Forecasting and Dynamic Models (Springer Series in Statistics)
Libro 34 di 160: Springer Series in StatisticsEUR 63,50
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Aggiungi al carrelloCondizione: 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.
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Bayesian Forecasting and Dynamic Models (Springer Series in Statistics)
Libro 34 di 160: Springer Series in StatisticsDa: Broad Street Books, Branchville, NJ, U.S.A.
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hardcover. Condizione: As New. 2nd. Book is in excellent condition, text is unmarked and pages are tight.
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Bayesian Forecasting and Dynamic Models (Springer Series in Statistics)
Libro 34 di 160: Springer Series in StatisticsEUR 86,91
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Aggiungi al carrelloCondizione: 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.
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Bayesian Forecasting and Dynamic Models (Springer Series in Statistics)
Libro 34 di 160: Springer Series in StatisticsDa: BennettBooksLtd, Los Angeles, CA, U.S.A.
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hardcover. Condizione: New. In shrink wrap. Looks like an interesting title!
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Bayesian Forecasting and Dynamic Models
Libro 34 di 160: Springer Series in StatisticsDa: GreatBookPrices, Columbia, MD, U.S.A.
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EUR 162,01
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Bayesian Forecasting and Dynamic Models
Libro 34 di 160: Springer Series in StatisticsDa: GreatBookPricesUK, Woodford Green, Regno Unito
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Bayesian Forecasting and Dynamic Models (Springer Series in Statistics)
Libro 34 di 160: Springer Series in StatisticsDa: Ria Christie Collections, Uxbridge, Regno Unito
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EUR 151,64
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Aggiungi al carrelloCondizione: New. In English.
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Bayesian Forecasting and Dynamic Models (Hardcover)
Libro 34 di 160: Springer Series in StatisticsLingua: Inglese
Editore: Springer-Verlag New York Inc., New York, NY, 1997
ISBN 10: 0387947256 ISBN 13: 9780387947259
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
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Hardcover. Condizione: new. Hardcover. The second edition of this book includes revised, updated, and additional material on the structure, theory, and application of classes of dynamic models in Bayesian time series analysis and forecasting. In addition to wide ranging updates to central material, the text includes many more exercises and covers new topics at the research and application frontiers of Bayesian forecastings. This text is concerned with Bayesian learning, inference and forecasting in dynamic environments. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Bayesian Forecasting and Dynamic Models
Libro 34 di 160: Springer Series in StatisticsDa: GreatBookPrices, Columbia, MD, U.S.A.
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EUR 168,14
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
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Bayesian Forecasting and Dynamic Models
Libro 34 di 160: Springer Series in StatisticsLingua: Inglese
Editore: Springer-Verlag New York Inc., 1997
ISBN 10: 0387947256 ISBN 13: 9780387947259
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
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Aggiungi al carrelloHardback. Condizione: New. New copy - Usually dispatched within 4 working days.
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Bayesian Forecasting and Dynamic Models
Libro 34 di 160: Springer Series in StatisticsDa: Books Puddle, New York, NY, U.S.A.
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Condizione: New. pp. 700 2nd Edition.
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Bayesian Forecasting and Dynamic Models
Libro 34 di 160: Springer Series in StatisticsDa: Majestic Books, Hounslow, Regno Unito
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EUR 183,65
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Aggiungi al carrelloCondizione: New. pp. 700 52:B&W 6.14 x 9.21in or 234 x 156mm (Royal 8vo) Case Laminate on White w/Gloss Lam.
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Bayesian Forecasting and Dynamic Models
Libro 34 di 160: Springer Series in StatisticsDa: GreatBookPricesUK, Woodford Green, Regno Unito
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EUR 207,96
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
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Bayesian Forecasting and Dynamic Models (Springer Series in Statistics)
Libro 34 di 160: Springer Series in StatisticsDa: Mispah books, Redhill, SURRE, Regno Unito
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Aggiungi al carrelloHardcover. Condizione: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
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EUR 166,41
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Aggiungi al carrelloBuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Thisdevelopmenthasinvolvedthoroughinvestigationofmathematical and 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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Bayesian Forecasting and Dynamic Models (Hardcover)
Libro 34 di 160: Springer Series in StatisticsLingua: Inglese
Editore: Springer-Verlag New York Inc., New York, NY, 1997
ISBN 10: 0387947256 ISBN 13: 9780387947259
Da: AussieBookSeller, Truganina, VIC, Australia
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Aggiungi al carrelloHardcover. Condizione: new. Hardcover. The second edition of this book includes revised, updated, and additional material on the structure, theory, and application of classes of dynamic models in Bayesian time series analysis and forecasting. In addition to wide ranging updates to central material, the text includes many more exercises and covers new topics at the research and application frontiers of Bayesian forecastings. This text is concerned with Bayesian learning, inference and forecasting in dynamic environments. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Bayesian Forecasting and Dynamic Models (Springer Series in Statistics)
Libro 34 di 160: Springer Series in StatisticsDa: Revaluation Books, Exeter, Regno Unito
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Aggiungi al carrelloHardcover. Condizione: Brand New. 2nd sub edition. 680 pages. 9.75x6.50x1.50 inches. In Stock. This item is printed on demand.
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EUR 132,75
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Aggiungi al carrelloCondizione: 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.
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Bayesian Forecasting and Dynamic Models
Libro 34 di 160: Springer Series in StatisticsDa: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
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Aggiungi al carrelloBuch. Condizione: 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.
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Bayesian Forecasting and Dynamic Models
Libro 34 di 160: Springer Series in StatisticsDa: Biblios, Frankfurt am main, HESSE, Germania
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EUR 208,84
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Aggiungi al carrelloCondizione: New. PRINT ON DEMAND pp. 700.
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Bayesian Forecasting and Dynamic Models
Libro 34 di 160: Springer Series in StatisticsDa: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
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Aggiungi al carrelloBuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. 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 KG, Sachsenplatz 4-6, 1201 Wien 700 pp. Englisch.
