[PDF.04en] 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

[PDF.ge53] Hierarchical Modeling and Inference in Ecology: The Analysis of Data from Populations, Metapopulations and Communities

Hierarchical Modeling and Inference  J. Andrew Royle, Robert M. Dorazio epub
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 | #758436 in Books |  2008-07-17 | Original language:English | PDF # 1 |  1.20 x7.40 x9.30l,2.10 | File type: PDF | 464 pages

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||1 of 1 people found the following review helpful.| Great book, very useful for quantitative ecologists; poor web supplement|By RollAwaytheDew|This is an excellent introduction to hierarchical modeling and Bayesian analysis for modeling populations and communities. The authors provide very good explanations of the topics and go in depth to describe how to analyze specific data. They provide R code in the book, which is very help|About the Author|Dr Royle is currently a Research Statistician at the U.S. Geological Survey's Patuxent Wildlife Research Center. His research is focused on the application of probability and statistics to ecological problems, especially those related to animal

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 becau...

You easily download any file type for your device.Hierarchical Modeling and Inference in Ecology: The Analysis of Data from Populations, Metapopulations and Communities   |  J. Andrew Royle, Robert M. Dorazio. A good, fresh read, highly recommended.

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