bookJul 17, 2008Closed access
Hierarchical Modeling and Inference in Ecology: The Analysis of Data from Populations, Metapopulations and Communities
Abstract
A guide to data collection, modeling and inference strategies for biological survey data using Bayesian and classical statistical methods. This book describes a general and flexible framework for modeling and inference in ecological systems based on hierarchical models, with a strict focus on the use of probability models and parametric inference. Hierarchical models represent a paradigm shift in the application of statistics to ecological inference problems because they combine explicit models of ecological system structure or dynamics with models of how ecological systems are observed. The principles of hierarchical modeling are developed and applied to problems in population, metapopulation, community, and…
Citation impact
1,180
total citations
- FWCI
- 51.90
- Percentile
- 100%
- References
- 0
Citations per year
Authors
2Topics & keywords
Topics
Keywords
- Metapopulation
- Inference
- Computer science
- Bayesian inference
- Ecology
- Population
- Bayesian hierarchical modeling
- Bayesian probability
No related works found for this paper.