Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Hierarchical Modeling and Inference in Ecology: The Analysis of Data from Populations, Metapopulations and Communities

Hierarchical Modeling and Inference in Ecology: The Analysis of Data from Populations, Metapopulations and Communities

Royle, J. Andrew
Dorazio, Robert M.

Hardcover

Environmental StudiesGeneral Science

ISBN10: 0123740975
ISBN13: 9780123740977
Publisher: Academic Pr Inc
Published: Jul 1 2008
Pages: 464
Weight: 2.10
Height: 1.20 Width: 7.40 Depth: 9.30
Language: English
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 metacommunity systems.

The book provides the first synthetic treatment of many recent methodological advances in ecological modeling and unifies disparate methods and procedures.

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