Bayesian analysis for population ecology. (©2010)
- Record Type:
- Book
- Title:
- Bayesian analysis for population ecology. (©2010)
- Main Title:
- Bayesian analysis for population ecology
- Further Information:
- Note: Ruth King [and others].
- Other Names:
- King, Ruth, 1977-
- Contents:
- Introduction to Statistical Analysis of Ecological Data -- Data, Models and Likelihoods -- Classical Inference Based on Likelihood -- Bayesian Inference -- Markov Chain Monte Carlo -- Model Discrimination -- MCMC and RJMCMC Computer Programs -- Covariates, Missing Values and Random Effects -- Multi-State Models -- State-Space Modelling -- Closed Populations -- A. Common Distributions -- B. Programming in R -- C. Programming in WinBUGS.
- Publisher Details:
- Boca Raton : Chapman & Hall/CRC
- Publication Date:
- 2010
- Copyright Date:
- 2010
- Extent:
- 1 online resource (xiii, 442 pages), illustrations
- Subjects:
- 577.8/801519542
Population biology -- Mathematics
Bayesian field theory
Bayes Theorem
Fertility
Genetics, Population
Reproduction
Mathematics
Natural history
Science
SCIENCE -- Environmental Science (see also Chemistry) -- (Environmental)
NATURE -- Ecosystems & Habitats -- Wilderness
NATURE -- Ecology
SCIENCE -- Life Sciences -- Ecology
Bayesian field theory
Population biology -- Mathematics
Electronic books - Languages:
- English
- ISBNs:
- 9781439811887
1439811881 - Related ISBNs:
- 9781439811870
1439811873 - Notes:
- Note: Includes bibliographical references and index.
Note: Print version record. - Access Rights:
- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
- Access Usage:
- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.148569
- Ingest File:
- 01_009.xml