Bayesian Population Analysis Using WinBUGS : A Hierarchical Perspective
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| Title: | Bayesian Population Analysis Using WinBUGS : A Hierarchical Perspective |
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| Description: | Bayesian statistics has exploded into biology and its sub-disciplines, such as ecology, over the past decade. The free software program WinBUGS, and its open-source sister OpenBugs, is currently the only flexible and general-purpose program available with which the average ecologist can conduct standard and non-standard Bayesian statistics. - Comprehensive and richly commented examples illustrate a wide range of models that are most relevant to the research of a modern population ecologist - All WinBUGS/OpenBUGS analyses are completely integrated in software R - Includes complete documentation of all R and WinBUGS code required to conduct analyses and shows all the necessary steps from having the data in a text file out of Excel to interpreting and processing the output from WinBUGS in R |
| Authors: | Marc Kéry, Michael Schaub |
| Resource Type: | eBook. |
| Subjects: | Population biology--Data processing |
| Categories: | SCIENCE / Life Sciences / Ecology, SCIENCE / Life Sciences / Biology |
| Database: | eBook Collection (EBSCOhost) |
| Abstract: | Bayesian statistics has exploded into biology and its sub-disciplines, such as ecology, over the past decade. The free software program WinBUGS, and its open-source sister OpenBugs, is currently the only flexible and general-purpose program available with which the average ecologist can conduct standard and non-standard Bayesian statistics. - Comprehensive and richly commented examples illustrate a wide range of models that are most relevant to the research of a modern population ecologist - All WinBUGS/OpenBUGS analyses are completely integrated in software R - Includes complete documentation of all R and WinBUGS code required to conduct analyses and shows all the necessary steps from having the data in a text file out of Excel to interpreting and processing the output from WinBUGS in R |
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| ISBN: | 9780123870209 9780123870216 |
