Applied Hierarchical Modeling in Ecology: Analysis of Distribution, Abundance and Species Richness in R and BUGS: Volume 2: Dynamic and Advanced Models
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Applied Hierarchical Modeling in Ecology: Analysis of Distribution, Abundance and Species Richness in R and BUGS, Volume Two: Dynamic and Advanced Models provides a synthesis of the state-of-the-art in hierarchical models for plant and animal distribution, also focusing on the complex and more advanced models currently available. The book explains all procedures in the context of hierarchical models that represent a unified approach to ecological research, thus taking the reader from design, through data collection, and into analyses using a very powerful way of synthesizing data.
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Applied Hierarchical Modeling in Ecology: Analysis of Distribution, Abundance and Species Richness in R and BUGS, Volume Two: Dynamic and Advanced Models provides a synthesis of the state-of-the-art in hierarchical models for plant and animal distribution, also focusing on the complex and more advanced models currently available. The book explains all procedures in the context of hierarchical models that represent a unified approach to ecological research, thus taking the reader from design, through data collection, and into analyses using a very powerful way of synthesizing data.
Title: Applied Hierarchical Modeling in Ecology: Analysis of Distribution, Abundance and Species Richness in R and BUGS: Volume 2: Dynamic and Advanced Models
Author: Royle, J. Andrew,Kéry, Marc
ISBN: 9780128237687
Binding:
Publisher: Elsevier Science Publishing Co Inc
Publication Date: 2020-10-09
Number of Pages: 820
Weight: 1.8425 kg
In terms of content, there is little more one could ask for. But even the detailed and careful analyses presented in each chapter cannot fully cover steps that would normally accompany statistical analyses: model diagnostics, quantification of uncertainty, particularly of model predictions, comparison with alternative model structures and so forth. The authors touch on these issues in the first volume, and are clearly aware of them, but it would be impossible and not really informative to add such common procedures to each and every single chapter. Overall this book is a must-have for any statistical ecologist who is working with data in the fields of conservation ecology or wildlife ecology, terrestrial or aquatic. It is not a book for casual reading, and experience with statistical analysis and R in particular are warranted. --Basic and Applied Ecology
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