Bayesian Inference
With Ecological Applications
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Product details:
- Publisher Elsevier Science
- Date of Publication 7 August 2009
- ISBN 9780123748546
- Binding Hardback
- No. of pages354 pages
- Size 234x190 mm
- Weight 720 g
- Language English 0
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Long 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.
MoreTable of Contents:
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
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