Hierarchical modelling environmental sciences (22 résultats)

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Etat : New. 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. Editor(s): Clark, James S.; Gelfand, Alan E. Num Pages: 216 pages, 73 line drawings, tables. BIC Classification: PBT; PBW; PSAF; UFM. Category: (P) Professional & Vocational. Dimension: 246 x 188 x 12. Weight in Grams: 410. . 2006. Illustrated. paperback. . . . . …

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Etat : As New. Unread book in perfect condition.

Etat : New. 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. Editor(s): Clark, James S.; Gelfand, Alan E. Num Pages: 216 pages, 73 line drawings, tables. BIC Classification: PBT; PBW; PSAF; UFM. Category: (P) Professional & Vocational. Dimension: 246 x 188 x 12. Weight in Grams: 410. . 2006. Illustrated. paperback. . . . . Books ship from the US and Ireland. …

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Paperback. Etat : 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 Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…

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Paperback. Etat : 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 multiple locations in the US or from the UK, depending on stock availability.…

Etat : 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.…

Paperback. Etat : 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.…

Etat : New. Print on Demand pp. 216.

Etat : 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.

Etat : New. PRINT ON DEMAND pp. 216.

Taschenbuch. Etat : 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. …