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Bayesian inference[electronic resource] :with ecological applications /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
杜威分類號:	333.701519542
書名/作者:	Bayesian inference : with ecological applications // William A. Link, Richard J. Barker.
作者:	Link, William August,
其他作者:	Barker, Richard J.
出版者:	Amsterdam ; : Elsevier/Academic,, 2010.
面頁冊數:	1 online resource (xiii, 339 p.) : : ill. (some col.)
標題:	Bayesian statistical decision theory.
標題:	Ecology - Mathematical models.
標題:	NATURE - Natural Resources.
標題:	BUSINESS & ECONOMICS - Environmental Economics.
標題:	BUSINESS & ECONOMICS - Green Business.
標題:	Methode van Bayes.
標題:	Ecologische aspecten.
ISBN:	9780123748546
ISBN:	0123748542
ISBN:	9780080889801 (electronic bk.)
ISBN:	0080889808 (electronic bk.)
書目註:	Includes bibliographical references and indexes.
內容註:	Chapter 1. Bayesian Inference -- Chapter 2. Probability -- Chapter 3. Statistical Inference -- Chapter 4. Posterior Calculations -- Chapter 5. Bayesian Prediction -- Chapter 6. Priors -- Chapter 7. Multimodel Inference -- Chapter 8. Hidden Data Models -- Chapter 9. Closed-Population Mark-Recapture Models -- Chapter 10. Latent Multinomials -- Chapter 11. Open Population Models -- Chapter 12. Individual Fitness -- Chapter 13. Autoregressive Smoothing.
摘要、提要註:	This text is written to provide a mathematically sound but accessible and engaging introduction to Bayesian inference specifically for environmental scientists, ecologists and wildlife biologists. It emphasizes the power and usefulness of Bayesian methods in an ecological context. The advent of fast personal computers and easily available software has simplified the use of Bayesian and hierarchical models . One obstacle remains for ecologists and wildlife biologists, namely the near absence of Bayesian texts written specifically for them. The book includes many relevant examples, is supported by software and examples on a companion website and will become an essential grounding in this approach for students and research ecologists. . Engagingly written text specifically designed to demystify a complex subject . Examples drawn from ecology and wildlife research . An essential grounding for graduate and research ecologists in the increasingly prevalent Bayesian approach to inference . Companion website with analytical software and examples . Leading authors with world-class reputations in ecology and biostatistics.
電子資源:	http://www.sciencedirect.com/science/book/9780123748546

Bayesian inference[electronic resource] :with ecological applications /
Link, William August,1957-

Bayesian inferencewith ecological applications /[electronic resource] :William A. Link, Richard J. Barker. - 1st ed. - Amsterdam ;Elsevier/Academic,2010. - 1 online resource (xiii, 339 p.) :ill. (some col.)

Includes bibliographical references and indexes.

Chapter 1. Bayesian Inference -- Chapter 2. Probability -- Chapter 3. Statistical Inference -- Chapter 4. Posterior Calculations -- Chapter 5. Bayesian Prediction -- Chapter 6. Priors -- Chapter 7. Multimodel Inference -- Chapter 8. Hidden Data Models -- Chapter 9. Closed-Population Mark-Recapture Models -- Chapter 10. Latent Multinomials -- Chapter 11. Open Population Models -- Chapter 12. Individual Fitness -- Chapter 13. Autoregressive Smoothing.

This text is written to provide a mathematically sound but accessible and engaging introduction to Bayesian inference specifically for environmental scientists, ecologists and wildlife biologists. It emphasizes the power and usefulness of Bayesian methods in an ecological context. The advent of fast personal computers and easily available software has simplified the use of Bayesian and hierarchical models . One obstacle remains for ecologists and wildlife biologists, namely the near absence of Bayesian texts written specifically for them. The book includes many relevant examples, is supported by software and examples on a companion website and will become an essential grounding in this approach for students and research ecologists. . Engagingly written text specifically designed to demystify a complex subject . Examples drawn from ecology and wildlife research . An essential grounding for graduate and research ecologists in the increasingly prevalent Bayesian approach to inference . Companion website with analytical software and examples . Leading authors with world-class reputations in ecology and biostatistics.

ISBN: 9780123748546

Source: 142169:142315Elsevier Science & Technologyhttp://www.sciencedirect.comSubjects--Topical Terms:

367145
Bayesian statistical decision theory.
Index Terms--Genre/Form:

336502
Electronic books.

LC Class. No.: QA279.5 / .L56 2010

Dewey Class. No.: 333.701519542

Bayesian inference[electronic resource] :with ecological applications /
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