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CRC Press Hierarchical Bayesian Modeling for Ecological Data

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Description

Improve your ability to analyze complex biological processes with Introduction to Hierarchical Bayesian Modeling for Ecological Data. Published by CRC Press as part of the Chapman and Hall/CRC Applied Environmental Statistics series, this book provides a flexible framework for ecologists and scientists to learn about statistical modeling and inference. This text is designed to make advanced statistical methods more accessible. It guides readers through a logical progression, starting with simple models and moving toward more complex and realistic scenarios. You will learn how to incorporate explanatory covariates and intermediate hidden states variables to better understand data from various sources. Whether you are looking to understand existing models or want to start building your own statistical models, this resource offers a structured approach to learning. It is an essential tool for researchers working in animal sciences, habitats, and other biological fields who need to handle diverse ecological data sets effectively.

Key Features

Provides a flexible and effective framework to help ecologists learn about complex biological processes through various data sources.

Offers a step-by-step learning path that begins with simple models and progresses to more complex and realistic versions.

Helps researchers build their own statistical models by teaching fundamental concepts of modeling and inference.

Includes instruction on using explanatory covariates and intermediate hidden states variables to enhance model realism.

Part of the Chapman and Hall/CRC Applied Environmental Statistics series for specialized scientific study.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
21 August 2012
Listed Since
25 June 2007

Barcode

No barcode data available

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