Bayesian methods for ecology:
Saved in:
| Main Author: | |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
Cambridge [u.a.]
Cambridge Univ. Press
2009
|
| Edition: | 1. publ., 3. print. |
| Subjects: | |
| Online Access: | Inhaltsverzeichnis |
| Physical Description: | XIII, 296 S. Ill., graph. Darst. |
| ISBN: | 9780521615594 9780521850575 |
Staff View
MARC
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| 245 | 1 | 0 | |a Bayesian methods for ecology |c Michael A. McCarthy |
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| 264 | 1 | |a Cambridge [u.a.] |b Cambridge Univ. Press |c 2009 | |
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Record in the Search Index
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| adam_text | Contents
Preface
page
xi
1
Introduction
1
Example
1 :
Logic in determining the presence or
absence of a species
4
Example
2:
Estimation of a mean
20
Concluding remarks
29
2
Critiques of statistical methods
30
Introduction
30
Sex ratio of koalas
31
Null hypothesis significance testing
35
Information-theoretic methods
45
Bayesian methods
52
Estimating effect sizes
58
Concluding remarks
61
3
Analysing averages and frequencies
63
The average
63
The
Poisson
distribution with extra variation
71
Estimating differences
71
Required sample sizes when estimating means
73
Estimating proportions
81
Multinomial models
88
Concluding remarks
92
4
How good are the models?
94
How good is the fit?
95
vn
viii Contents
How complex is the model?
101
Combining measures of fit and simplicity
105
The
Bayes
factor and model probabilities
108
Evaluating the shape of distributions
116
Concluding remarks
118
5
Regression and correlation
119
Regression
119
Correlation
148
Concluding remarks
156
6
Analysis of variance
158
One-way
ANO VA
158
Coding of variables
159
Fixed and random factors
162
Two-way
ANO VA
165
Interaction terms in
ANO VA
167
Variance partitioning
167
An example of ANOVA: effects of vegetation removal
on a marsupial
170
Analysis of covariance
180
ANCOVA: a case study
182
Log-linear models for contingency tables
190
Concluding remarks
193
CASE STUDIES
7
Mark-recapture analysis
197
Methods
197
8
Effects of marking frogs
207
Logistic regression
209
Model A
210
Models
В
and
С
211
9
Population dynamics
217
Mountain pygmy possums
217
10
Subjective priors
225
Elicitine orobabilities
225
Contents ix
Handling differences of opinion
226
Using subjective judgements
227
Using the consensus of experts
227
Representing differences of opinion with subjective priors
230
Using Bayesian networks to represent expert opinion
236
Concluding remarks
243
11
Conclusion
244
Prior information
244
Flexible statistical models
245
Intuitive results
245
Bayesian methods make us think
245
A Bayesian future for ecology
246
APPENDICES
A A tutorial for running WinBUGS
249
A summary of steps for running WinBUGS
249
The steps in more detail
249
How to write WinBUGS code
253
В
Probability distributions
255
Discrete random variables
255
Continuous random variables
257
Univariate discrete distributions
261
Univariate continuous distributions
266
Multivariate discrete distributions
272
Multivariate continuous distributions
273
Conjugacy
275
С МСМС
algorithms
277
Why does it work?
280
References
282
Index
293
|
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| illustrated | Illustrated |
| indexdate | 2024-07-09T22:06:19Z |
| institution | BVB |
| isbn | 9780521615594 9780521850575 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-018716966 |
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| physical | XIII, 296 S. Ill., graph. Darst. |
| publishDate | 2009 |
| publishDateSearch | 2009 |
| publishDateSort | 2009 |
| publisher | Cambridge Univ. Press |
| record_format | marc |
| spelling | McCarthy, Michael Andrew Verfasser aut Bayesian methods for ecology Michael A. McCarthy 1. publ., 3. print. Cambridge [u.a.] Cambridge Univ. Press 2009 XIII, 296 S. Ill., graph. Darst. txt rdacontent n rdamedia nc rdacarrier Ökologie - Bayes-Entscheidungstheorie Ökologie Bayesian statistical decision theory Ecology Research Statistical methods Ökologie (DE-588)4043207-5 gnd rswk-swf Bayes-Entscheidungstheorie (DE-588)4144220-9 gnd rswk-swf Ökologie (DE-588)4043207-5 s Bayes-Entscheidungstheorie (DE-588)4144220-9 s b DE-604 Digitalisierung UB Bayreuth application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=018716966&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | McCarthy, Michael Andrew Bayesian methods for ecology Ökologie - Bayes-Entscheidungstheorie Ökologie Bayesian statistical decision theory Ecology Research Statistical methods Ökologie (DE-588)4043207-5 gnd Bayes-Entscheidungstheorie (DE-588)4144220-9 gnd |
| subject_GND | (DE-588)4043207-5 (DE-588)4144220-9 |
| 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 - Bayes-Entscheidungstheorie Ökologie Bayesian statistical decision theory Ecology Research Statistical methods Ökologie (DE-588)4043207-5 gnd Bayes-Entscheidungstheorie (DE-588)4144220-9 gnd |
| topic_facet | Ökologie - Bayes-Entscheidungstheorie Ökologie Bayesian statistical decision theory Ecology Research Statistical methods Bayes-Entscheidungstheorie |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=018716966&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| work_keys_str_mv | AT mccarthymichaelandrew bayesianmethodsforecology |