Da: Book House in Dinkytown, IOBA, Minneapolis, MN, U.S.A.
Membro dell'associazione: IOBA
Paperback. Condizione: Very Good+. From a private academic collection. Spine is uncreased, binding is tight, sturdy, and square. Previous owner's name on front endpaper, otherwise text clean. Shelfwear is very minor. Ships from Dinkytown in Minneapolis, Minnesota.
Editore: Oxford University Press, Incorporated, 2006
ISBN 10: 019856967X ISBN 13: 9780198569671
Lingua: Inglese
Da: Better World Books Ltd, Dunfermline, Regno Unito
Prima edizione
EUR 46,01
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Aggiungi al carrelloCondizione: Good. 1st Edition. Ships from the UK. Used book that is in clean, average condition without any missing pages.
Editore: Oxford University Press 2006, 2006
ISBN 10: 0198569661 ISBN 13: 9780198569664
Lingua: Inglese
Da: ROBIN SUMMERS BOOKS LTD, Aldeburgh, Regno Unito
Prima edizione
EUR 35,25
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Aggiungi al carrelloCondizione: Fine. First edition. Hardback. Large octavo. ix, 205pp. Illustrated boards. A near fine, unread copy. No jacket as issued.
Da: GreatBookPrices, Columbia, MD, U.S.A.
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Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 96,08
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Da: GreatBookPrices, Columbia, MD, U.S.A.
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
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Da: Chiron Media, Wallingford, Regno Unito
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 110,54
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Editore: Oxford University Press, Oxford, 2006
ISBN 10: 019856967X ISBN 13: 9780198569671
Lingua: Inglese
Da: AussieBookSeller, Truganina, VIC, Australia
EUR 99,31
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Aggiungi al carrelloPaperback. Condizione: new. Paperback. New Statistical tools are changing the wau in which scientists analyze and interpret data and models. Many of these are emerging as a result of the wide availability of inexpensive, high speed computational power. In particular, hierarchical Bayes and Markov Chain Monte Carlo methods for analysis provide constant framework for inference and prediction where information is heterogeneous and uncertain, processes are complex, and responses depend on scale. Nowhere arethese methods more promising than in the environmental sciences. Models have developed rapidly, and there is now a requirment for a clear exposition of the methodology through to application for arange of environmental challenges. Statistical tools are changing the ways in which scientists analyze and interpret data and models. This book provides consistent framework for inference and prediction where information is heterogeneous and uncertain, processes are complex, and responses depend on scale. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Editore: Oxford University Press OUP, 2006
ISBN 10: 019856967X ISBN 13: 9780198569671
Lingua: Inglese
Da: Books Puddle, New York, NY, U.S.A.
Condizione: New. pp. 216.
Da: Brook Bookstore On Demand, Napoli, NA, Italia
EUR 94,24
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Da: PBShop.store US, Wood Dale, IL, U.S.A.
PAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
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Editore: Oxford University Press, Oxford, 2006
ISBN 10: 019856967X ISBN 13: 9780198569671
Lingua: Inglese
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Paperback. Condizione: new. Paperback. New statistical tools are changing the ways in which scientists analyze and interpret data and models. Many of these are emerging as a result of the wide availability of inexpensive, high speed computational power. In particular, hierarchical Bayes and Markov Chain Monte Carlo methods for analysis provide consistent framework for inference and prediction where information is heterogeneous and uncertain, processes are complex, and responses depend on scale.Nowhere are these methods more promising than in the environmental sciences. Models have developed rapidly, and there is now a requirement for a clear exposition of the methodology through to applicationfor a range of environmental challenges. Statistical tools are changing the ways in which scientists analyze and interpret data and models. This book provides consistent framework for inference and prediction where information is heterogeneous and uncertain, processes are complex, and responses depend on scale. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 114,60
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Aggiungi al carrelloPaperback / softback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 480.
Editore: Oxford University Press, Oxford, 2006
ISBN 10: 019856967X ISBN 13: 9780198569671
Lingua: Inglese
Da: CitiRetail, Stevenage, Regno Unito
EUR 106,92
Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: new. Paperback. New Statistical tools are changing the wau in which scientists analyze and interpret data and models. Many of these are emerging as a result of the wide availability of inexpensive, high speed computational power. In particular, hierarchical Bayes and Markov Chain Monte Carlo methods for analysis provide constant framework for inference and prediction where information is heterogeneous and uncertain, processes are complex, and responses depend on scale. Nowhere arethese methods more promising than in the environmental sciences. Models have developed rapidly, and there is now a requirment for a clear exposition of the methodology through to application for arange of environmental challenges. Statistical tools are changing the ways in which scientists analyze and interpret data and models. This book provides consistent framework for inference and prediction where information is heterogeneous and uncertain, processes are complex, and responses depend on scale. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Da: moluna, Greven, Germania
EUR 108,96
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Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Statistical tools are changing the ways in which scientists analyze and interpret data and models. This book provides consistent framework for inference and prediction where information is heterogeneous and uncertain, processes are complex, and responses de.
Da: Majestic Books, Hounslow, Regno Unito
EUR 161,78
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. Print on Demand pp. 216 73 Figures, 50:B&W 7.44 x 9.69 in or 246 x 189 mm (Crown 4vo) Perfect Bound on White w/Gloss Lam.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 162,73
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. PRINT ON DEMAND pp. 216.
Da: preigu, Osnabrück, Germania
EUR 113,70
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Hierarchical Modelling for the Environmental Sciences | Statistical Methods and Applications | James S. Clark (u. a.) | Taschenbuch | Kartoniert / Broschiert | Englisch | 2006 | OUP Oxford | EAN 9780198569671 | Verantwortliche Person für die EU: Deutsche Bibelgesellschaft, Postfach:81 03 40, 70567 Stuttgart, vertrieb[at]dbg[dot]de | Anbieter: preigu Print on Demand.
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 133,44
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - New Statistical tools are changing the wau in which scientists analyze and interpret data and models. Many of these are emerging as a result of the wide availability of inexpensive, high speed computational power. In particular, hierarchical Bayes and Markov Chain Monte Carlo methods for analysis provide constant framework for inference and prediction where information is heterogeneous and uncertain, processes are complex, and responses depend on scale. Nowhere are these methods more promising than in the environmental sciences. Models have developed rapidly, and there is now a requirment for a clear exposition of the methodology through to application for a range of environmental challenges.