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  • 1
    Online Resource
    Online Resource
    Cambridge :Cambridge University Press,
    UID:
    almafu_9959241337202883
    Format: 1 online resource (xiii, 296 pages) : , digital, PDF file(s).
    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
    Content: 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.
    Note: Title from publisher's bibliographic system (viewed on 05 Oct 2015). , 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. , English
    Additional Edition: ISBN 0-521-61559-3
    Additional Edition: ISBN 0-521-85057-6
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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  • 2
    Book
    Book
    Cambridge [u.a.] : Cambridge University Press
    UID:
    gbv_601157567
    Format: XIII, 296 S. , Ill., graph. Darst. , 24 cm
    Edition: 3. print.
    ISBN: 0521850576 , 0521615593 , 9780521850575 , 9780521615594
    Note: Literaturverz. S. 282 - 292
    Language: English
    Subjects: Biology , Mathematics
    RVK:
    RVK:
    Keywords: Ökologie ; Bayes-Entscheidungstheorie ; Ökologie ; Bayes-Entscheidungstheorie
    Library Location Call Number Volume/Issue/Year Availability
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  • 3
    Book
    Book
    Cambridge [u.a.] : Cambridge Univ. Press
    UID:
    gbv_66548741X
    Format: XIII, 296 S. , graph. Darst. , 24 cm
    Edition: [Nachdr.]
    ISBN: 9780521850575 , 9780521615594
    Note: Literaturverz. S. 282 - 292
    Language: English
    Subjects: Biology
    RVK:
    Keywords: Ökologie ; Bayes-Entscheidungstheorie
    Library Location Call Number Volume/Issue/Year Availability
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