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Introduction to WinBUGS for Ecologists

Introduction to WinBUGS for Ecologists introduces applied Bayesian modeling to ecologists using the highly acclaimed, free WinBUGS software;

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Bayesian Modeling Using WinBUGS

A hands-on introduction to the principles of Bayesian modeling using WinBUGS Bayesian Modeling Using WinBUGS provides an easily accessible;

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Disease Mapping with WinBUGS and MLwiN

programs. Disease Mapping with WinBUGS and MLwiN provides a practical introduction to the use of software for disease mapping for researchers;

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Engineering Biostatistics

, hints for odd-numbered exercises, and additional materials and examples Engineering Biostatistics: An Introduction using MATLAB and WinBUGS can;

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Bayesian Methods for Ecology

software is available as well as an accompanying web-site containing the data files and WinBUGS codes. Bayesian Methods for Ecology will appeal to;

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The Interpretation Of Ecological Data

A detailed introduction to the methods used by ecologists--classification and ordination--to clarify and interpret large, unwieldy masses;

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Introduction to Hierarchical Bayesian Modeling for Ecological Data

Making statistical modeling and inference more accessible to ecologists and related scientists, Introduction to Hierarchical Bayesian;

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Introduction to Hierarchical Bayesian Modeling for Ecological Data

Making statistical modeling and inference more accessible to ecologists and related scientists, Introduction to Hierarchical Bayesian;

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Bayesian Analysis For Social Sciences

subjective qualities of Bayesian methodology. This book provides an accessible introduction to Bayesian methods, tailored specifically for social;

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Bayesian Population Analysis using WinBUGS

range of models that are most relevant to the research of a modern population ecologist All WinBUGS/OpenBUGS analyses are completely;

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Applied Bayesian Modelling

application of the techniques described. All WINBUGS programs are available from an ftp site. The book provides a good introduction to Bayesian;

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Bayesian Inference

This text is written to provide a mathematically sound but accessible and engaging introduction to Bayesian inference specifically for;

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Bayesian Analysis of Time Series

of the posterior distribution of the unknown parameters. Features Presents a comprehensive introduction to the Bayesian;

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Bayesian Analysis of Time Series

of the posterior distribution of the unknown parameters. Features Presents a comprehensive introduction to the;

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Predicting Spatial Effects in Ecological Systems

book provides an excellent introduction to the scope and scale of issues to be addressed in predicting change in ecological systems;

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Bayesian Ideas And Data Analysis

Emphasizing the use of WinBUGS and R to analyze real data, Bayesian Ideas and Data Analysis: An Introduction for Scientists and;

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Self-Organization in Complex Ecosystems. (MPB-42)

in ecology. Ricard Sole and Jordi Bascompte provide a comprehensive introduction to complex systems theory, and ask: do universal laws shape the;

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Bayesian Methods in Health Economics

of Bayesian methods for the analysis of health economic data. After an introduction to the basic economic concepts and methods of evaluation, it;

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Bayesian Methods in Health Economics

of Bayesian methods for the analysis of health economic data. After an introduction to the basic economic concepts and methods of evaluation, it;

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Network MetaAnalysis for DecisionMaking

synthesis is to answer the question for this pre-identified population of patients, which treatment is best ? A comprehensive, coherent framework;

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An Introduction to Generalized Linear Models

Continuing to emphasize numerical and graphical methods, An Introduction to Generalized Linear Models, Third Edition provides a cohesive;

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Bayesian Methods for Measures of Agreement

Using WinBUGS to implement Bayesian inferences of estimation and testing hypotheses, Bayesian Methods for Measures of Agreement presents;

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Bayesian Methods for Measures of Agreement

Using WinBUGS to implement Bayesian inferences of estimation and testing hypotheses, Bayesian Methods for Measures of Agreement presents;

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Bayesian Analysis with Stata

Bayesian Analysis with Stata is written for anyone interested in applying Bayesian methods to real data easily. The book shows how modern;

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Bayesian Inference for Stochastic Processes

This is the first book designed to introduce Bayesian inference procedures for stochastic processes. There are clear advantages to the;

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Bayesian Inference for Stochastic Processes

This is the first book designed to introduce Bayesian inference procedures for stochastic processes. There are clear advantages to the;

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Bayesian Analysis of Infectious Diseases

Bayesian Analysis of Infectious Diseases -COVID-19 and Beyond shows how the Bayesian approach can be used to analyze the evolutionary;

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