| Abstract: | Bayesian inference and decision theory may be used in the solution of relatively complex problems of natural resource management, owing to recent advances in statistical theory and computing. In particular, Markov chain Monte Carlo algorithms provide a computational framework for fitting models of adequate complexity and for evaluating the expected consequences of alternative management actions. We illustrate these features using an example based on management of waterfowl habitat. |
| Genre: | Article |
| ProdID: | 70025679 |
| Citation Author: | Dorazio, R. M.; Johnson, F. A. |
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| Citation End Page: | 563 |
| Citation Issue: | 2 |
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| Citation Language: | English |
| Citation Larger Work Title: | Ecological Applications |
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| Citation Number Of Pages: | 8 |
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| Citation Search Results Text: | Bayesian inference and decision theory - A framework for decision making in natural resource management; 2003; Article; Journal; Ecological Applications; Dorazio, R. M.; Johnson, F. A. |
| Citation Start Page: | 556 |
| Citation Volume: | 13 |
| Citation Year: | 2003 |
| Type: | citation/reference |
| Text: | Bayesian inference and decision theory - A framework for decision making in natural resource management; 2003; Article; Journal; Ecological Applications; Dorazio, R. M.; Johnson, F. A. |
| URL (THUMBNAIL): | http://pubs.er.usgs.gov/thumbnails/outside_thumb.jpg |
| Date Other: | Wed, 1 Jan 2003 00:00 -0600 |
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