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CRC Press Introduction to Hierarchical Bayesian Modeling for Ecological Data

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Description

Introduction to Hierarchical Bayesian Modeling for Ecological Data by CRC Press provides ecologists and environmental scientists with a practical, accessible framework for statistical modelling and inference. This comprehensive guide begins with straightforward models and progressively builds to more sophisticated approaches incorporating explanatory covariates and hidden state variables. The text bridges the gap between ecological theory and statistical practice, enabling readers to understand complex ecological processes across multiple data sources and develop their own statistical models with confidence. Published by Chapman and Hall/CRC as part of the Applied Environmental Statistics series, this resource combines clear pedagogy with rigorous methodology to make hierarchical Bayesian methods approachable for practitioners in ecological and environmental fields who seek to move beyond basic statistical techniques.

Key Features

Introduction to Hierarchical Bayesian Modeling for Ecological Data covers progressive model building from simple foundations to complex, realistic ecological applications.

The text incorporates explanatory covariates and hidden state variables to capture the nuances of ecological systems and processes.

Published by Chapman and Hall/CRC in the Applied Environmental Statistics series, offering authoritative environmental modelling guidance.

Designed specifically for ecologists and related scientists to build and fit their own statistical models to ecological datasets.

Accessible framework helps readers learn complex ecological processes by integrating information from various sources of environmental data.

Product Specifications

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

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