Hierarchical Modelling Environmental Sciences (23 results)

paperback. Ships same or next business day.

Condition: Fine. First edition. Hardback. Large octavo. ix, 205pp. Illustrated boards. A near fine, unread copy. No jacket as issued.

Condition: New.

Condition: 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. . . . . …

Condition: As New. Unread book in perfect condition.

Condition: New.

Condition: New. In English.

Condition: As New. Unread book in perfect condition.

Condition: 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. …

Condition: new. Questo è un articolo print on demand.

Paperback. Condition: 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.…

PF. Condition: New. This item is printed on demand. Brand new book, sourced directly from publisher. Dispatch time is 6-7 days from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely.

PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Paperback. Condition: 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.…

Paperback / softback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.

Condition: 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. Condition: 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.…

Condition: New. Print on Demand pp. 216.

Condition: 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.

Taschenbuch. Condition: 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: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.…

Taschenbuch. Condition: 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.…

Condition: New. PRINT ON DEMAND pp. 216.