Bayesian methods for ecology / Michael A. McCarthy.

Format:

Book

Author/Creator:

McCarthy, Michael A., 1968- author.

Language:

English

Subjects (All):

Ecology--Research--Statistical methods.

Bayesian statistical decision theory.

Physical Description:

1 online resource (xiii, 296 pages) : digital, PDF file(s).

Place of Publication:

Cambridge : Cambridge University Press, 2007.

Language Note:

English

Summary:

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.

Contents:

Introduction

Critiques of statistical methods

Analysing averages and frequencies

How good are the models?

Regression and correlation

Analysis of variance

Case studies

Mark-recapture analysis

Effects of marking frogs

Population dynamics

Subjective priors

Conclusion

Appendices: A.A tutorial for running WinBUGS ; B. Probability distributions ; C. MCMC algorithms.

Notes:

Title from publisher's bibliographic system (viewed on 05 Oct 2015).

Includes bibliographical references (pages 282-292) and index.

ISBN:

1-107-16509-1

1-107-08627-2

1-280-90964-1

9786610909643

0-511-80245-5

0-511-28644-9

0-511-28570-1

0-511-28414-4

0-511-32308-5

0-511-28494-2

OCLC:

476062748