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m o d |
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111110s2012 maua ob 001 0 eng d |
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|a 759686465
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|z (OCoLC)1162053078
|z (OCoLC)1228527236
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| 037 |
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|a 1106587:10995121
|b Elsevier Science & Technology
|n http://www.sciencedirect.com
|
| 050 |
|
4 |
|a QH352
|b .K47 2012
|
| 072 |
|
7 |
|a NAT
|x 010000
|2 bisacsh
|
| 072 |
|
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|a NAT
|x 045040
|2 bisacsh
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7 |
|a SCI
|x 026000
|2 bisacsh
|
| 072 |
|
7 |
|a SCI
|x 020000
|2 bisacsh
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| 049 |
|
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|a HCDD
|
| 100 |
1 |
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|a Kéry, Marc.
|
| 245 |
1 |
0 |
|a Bayesian population analysis using WinBUGS :
|b a hierarchical perspective /
|c Marc Kery and Michael Schaub ; foreword by Steven R. Beissinger.
|
| 250 |
|
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|a 1st ed.
|
| 260 |
|
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|a Waltham, MA :
|b Academic Press,
|c 2012.
|
| 300 |
|
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|a 1 online resource (xvii, 535 pages) :
|b illustrations (some color)
|
| 336 |
|
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|a text
|b txt
|2 rdacontent
|
| 337 |
|
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|a computer
|b c
|2 rdamedia
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| 338 |
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|a online resource
|b cr
|2 rdacarrier
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| 347 |
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|a data file
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| 520 |
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|a 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.
|
| 505 |
0 |
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|a Preface Acknowledgements 1. Introduction 2. Very brief introduction to Bayesian statistical modeling 3. Introduction to the generalized linear model (GLM): The simplest model for count data 4. Introduction to random effects: The conventional Poisson GLMM for count data 5. State-space models 6. Estimation of population size 7. Estimation of survival probabilities using capture-recapture data 8. Estimation of survival probabilities using mark-recovery data 9. Multistate capture-recapture models 10. Estimation of survival and recruitment using the Jolly-Seber model 11. Integrated population models 12. Metapopulation modeling of abundance using hierarchical Poisson regression 13. Metapopulation modeling of species distributions using hierarchical logistic regression 14. Concluding remarks Appendices References.
|
| 504 |
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|a Includes bibliographical references and index.
|
| 588 |
0 |
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|a Print version record.
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| 546 |
|
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|a English.
|
| 630 |
0 |
0 |
|a WinBUGS.
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| 630 |
0 |
7 |
|a WinBUGS
|2 fast
|
| 650 |
|
0 |
|a Population biology
|x Data processing.
|
| 650 |
|
7 |
|a NATURE
|x Ecology.
|2 bisacsh
|
| 650 |
|
7 |
|a NATURE
|x Ecosystems & Habitats
|x Wilderness.
|2 bisacsh
|
| 650 |
|
7 |
|a SCIENCE
|x Environmental Science.
|2 bisacsh
|
| 650 |
|
7 |
|a SCIENCE
|x Life Sciences
|x Ecology.
|2 bisacsh
|
| 650 |
|
7 |
|a Population biology
|x Data processing
|2 fast
|
| 650 |
|
7 |
|a Bayes-Verfahren
|2 gnd
|
| 650 |
|
7 |
|a Demökologie
|2 gnd
|
| 650 |
|
7 |
|a Populationsbiologie.
|2 idszbz
|
| 650 |
|
7 |
|a Populationsdynamik.
|2 idszbz
|
| 650 |
|
7 |
|a Biometrie.
|2 idszbz
|
| 650 |
|
7 |
|a Bayes-Entscheidungstheorie.
|2 idszbz
|
| 650 |
|
7 |
|a Statistisches Modell.
|2 idszbz
|
| 655 |
|
7 |
|a Textbooks
|2 fast
|
| 655 |
|
7 |
|a Textbooks.
|2 lcgft
|
| 700 |
1 |
|
|a Schaub, Michael.
|
| 776 |
0 |
8 |
|i Print version:
|a Kéry, Marc.
|t Bayesian population analysis using WinBUGS.
|b 1st ed.
|d Waltham, MA : Academic Press, 2012
|z 9780123870209
|w (DLC) 2011029641
|w (OCoLC)731925446
|
| 856 |
4 |
0 |
|u https://ebookcentral.proquest.com/lib/holycrosscollege-ebooks/detail.action?docID=767268
|y Click for online access
|
| 903 |
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|a EBC-AC
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| 994 |
|
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|a 92
|b HCD
|