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Chapman and Hall/CRC Bayesian Analysis for Population Ecology - Chapman and Hall/CRC

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Description

Modern ecological research requires advanced statistical tools to predict how populations change and respond to external influences like global warming. This book provides essential methods for scientists working to conserve and manage biological populations through data-driven insights. By focusing on key demographic parameters, researchers can better understand future population trends. This text covers modern Bayesian methods that are highly effective for statistical inference and forecasting. You will find guidance on using these tools to handle complex data challenges, such as missing information and the need for state-space models. This resource is designed for those needing to incorporate random effects and evaluate posterior model probabilities. It places a strong focus on model choice and model averaging, making it a practical guide for anyone applying statistical modeling to ecology and population management.

Key Features

Provides modern Bayesian methods for statistical inference and forecasting in ecological research.

Helps scientists predict population development by analyzing key demographic parameters.

Offers tools to relate population changes to external influences like global warming.

Covers practical applications for fitting state-space models and incorporating random effects.

Includes methods for evaluating posterior model probabilities and managing missing data.

Focuses on model choice and model averaging to improve statistical accuracy.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
30 October 2009
Listed Since
16 January 2009

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No barcode data available

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