An accessible text describing how to use Bayesian methods of statistical analysis in ecology.
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Michael A. McCarthy is Senior Ecologist at the Royal Botanical Gardens, Melbourne and Senior Fellow in the School of Botany at the University of Melbourne.
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Anbieter: Better World Books, Mishawaka, IN, USA
Zustand: Very Good. 1st Edition. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good. Artikel-Nr. 52062657-6
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Anbieter: Anybook.com, Lincoln, Vereinigtes Königreich
Zustand: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has soft covers. In good all round condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,600grams, ISBN:9780521615594. Artikel-Nr. 5752718
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Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
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Anbieter: Kennys Bookstore, Olney, MD, USA
Zustand: New. An accessible text describing how to use Bayesian methods of statistical analysis in ecology. Num Pages: 312 pages, 47 b/w illus. 8 tables. BIC Classification: PBT; RNC. Category: (P) Professional & Vocational. Dimension: 227 x 152 x 16. Weight in Grams: 458. . 2007. Illustrated. paperback. . . . . Books ship from the US and Ireland. Artikel-Nr. V9780521615594
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Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
Paperback. Zustand: Brand New. 1st edition. 296 pages. 8.75x5.75x0.75 inches. In Stock. Artikel-Nr. x-0521615593
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Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - The interest in using Bayesian methods in ecology is increasing, however many ecologists have difficulty with conducting the required analyses. McCarthy bridges that gap, using a clear and accessible style. The text also incorporates case studies to demonstrate mark-recapture analysis, development of population models and the use of subjective judgement. The advantages of Bayesian methods, are also described here, for example, the incorporation of any relevant prior information and the ability to assess the evidence in favour of competing hypotheses. Free software is available as well as an accompanying web-site containing the data files and WinBUGS codes. Bayesian Methods for Ecology will appeal to academic researchers, upper undergraduate and graduate students of Ecology. Artikel-Nr. 9780521615594
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