Bayesian methods for ecology:
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 o...
Gespeichert in:
| 1. Verfasser: | |
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Cambridge
Cambridge University Press
2007
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| Schlagworte: | |
| Online-Zugang: | BSB01 FHN01 Volltext |
| Zusammenfassung: | 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 |
| Beschreibung: | Title from publisher's bibliographic system (viewed on 05 Oct 2015) |
| Beschreibung: | 1 online resource (xiii, 296 pages) |
| ISBN: | 9780511802454 |
| DOI: | 10.1017/CBO9780511802454 |
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| 520 | |a 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 | ||
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Datensatz im Suchindex
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| author_facet | McCarthy, Michael A. 1968- |
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| dewey-full | 577.072/4 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 577 - Ecology |
| dewey-raw | 577.072/4 |
| dewey-search | 577.072/4 |
| dewey-sort | 3577.072 14 |
| dewey-tens | 570 - Biology |
| discipline | Biologie |
| doi_str_mv | 10.1017/CBO9780511802454 |
| format | Electronic eBook |
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| illustrated | Not Illustrated |
| indexdate | 2024-07-10T07:39:18Z |
| institution | BVB |
| isbn | 9780511802454 |
| language | English |
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| physical | 1 online resource (xiii, 296 pages) |
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| publisher | Cambridge University Press |
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| spelling | McCarthy, Michael A. 1968- Verfasser aut Bayesian methods for ecology Michael A. McCarthy Cambridge Cambridge University Press 2007 1 online resource (xiii, 296 pages) txt rdacontent c rdamedia cr rdacarrier Title from publisher's bibliographic system (viewed on 05 Oct 2015) 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 Ökologie Ecology / Research / Statistical methods Bayesian statistical decision theory Bayes-Entscheidungstheorie (DE-588)4144220-9 gnd rswk-swf Ökologie (DE-588)4043207-5 gnd rswk-swf Ökologie (DE-588)4043207-5 s Bayes-Entscheidungstheorie (DE-588)4144220-9 s 1\p DE-604 Erscheint auch als Druckausgabe 978-0-521-61559-4 Erscheint auch als Druckausgabe 978-0-521-85057-5 https://doi.org/10.1017/CBO9780511802454 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | McCarthy, Michael A. 1968- Bayesian methods for ecology Ökologie Ecology / Research / Statistical methods Bayesian statistical decision theory Bayes-Entscheidungstheorie (DE-588)4144220-9 gnd Ökologie (DE-588)4043207-5 gnd |
| subject_GND | (DE-588)4144220-9 (DE-588)4043207-5 |
| title | Bayesian methods for ecology |
| title_auth | Bayesian methods for ecology |
| title_exact_search | Bayesian methods for ecology |
| title_full | Bayesian methods for ecology Michael A. McCarthy |
| title_fullStr | Bayesian methods for ecology Michael A. McCarthy |
| title_full_unstemmed | Bayesian methods for ecology Michael A. McCarthy |
| title_short | Bayesian methods for ecology |
| title_sort | bayesian methods for ecology |
| topic | Ökologie Ecology / Research / Statistical methods Bayesian statistical decision theory Bayes-Entscheidungstheorie (DE-588)4144220-9 gnd Ökologie (DE-588)4043207-5 gnd |
| topic_facet | Ökologie Ecology / Research / Statistical methods Bayesian statistical decision theory Bayes-Entscheidungstheorie |
| url | https://doi.org/10.1017/CBO9780511802454 |
| work_keys_str_mv | AT mccarthymichaela bayesianmethodsforecology |