
Bayesian Inference
With Ecological Applications
Academic Press
Published on 7. August 2009
Book
Hardback
354 pages
978-0-12-374854-6 (ISBN)
Description
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.
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.
More details
Language
English
Place of publication
San Diego
United States
Publishing group
Elsevier Science Publishing Co Inc
Target group
College/higher education
Students and researchers in animal ecology, population ecology, wildlife management, conservation biology, and ecological and biological statistics.
Product notice
sewn/stitched
Cloth over boards
Dimensions
Height: 243 mm
Width: 200 mm
Thickness: 25 mm
Weight
1054 gr
ISBN-13
978-0-12-374854-6 (9780123748546)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

E-Book
08/2009
Academic Press
€55.95
Available for download
Content
Chapter 1. Bayesian InferenceChapter 2. ProbabilityChapter 3. Statistical InferenceChapter 4. Posterior CalculationsChapter 5. Bayesian PredictionChapter 6. PriorsChapter 7. Multimodel InferenceChapter 8. Hidden Data ModelsChapter 9. Closed-Population Mark-Recapture ModelsChapter 10. Latent MultinomialsChapter 11. Open Population ModelsChapter 12. Individual FitnessChapter 13. Autoregressive Smoothing