Introduction to WinBUGS for Ecologists: Bayesian approach to regression, ANOVA, mixed models and related analyses
Introduction to WinBUGS for Ecologists: Bayesian approach to regression, ANOVA, mixed models and related analyses
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发表时间：
2010-07
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通讯作者：
M. Kéry
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作者：
M. Kéry
在过去的十年里，贝叶斯统计学在生物学及其分支学科如生态学中得到了迅速发展。免费软件程序WinBUGS和它的开源姊妹程序OpenBugs是目前唯一灵活的通用程序，普通生态学家可以用它来进行他们自己的标准和非标准贝叶斯统计。《WINBUGS for ecology简介》直达问题的核心，为生态学家提供了一个全面而简洁的指南，将WINBUGS应用于他们最常用的模型类型：线性（LM）、广义线性（GLM）、线性混合（LMM）和广义线性混合模型（GLMM）。《WinBUGS for Ecologists简介》结合了使用WinBUGS（在贝叶斯框架中进行分析）和R（在频率模型中进行推理）进行模拟数据集“配对”分析的使用，并使用了非常详细的循序渐进的教程演示风格，真正让读者在自己的研究中重复给定模式应用的每一步。-介绍生态学家使用的关键模型的基本理论-在R中完成经典分析和在WinBUGS中对相同模型进行贝叶斯分析的完整并列-提供进行所有分析所需的R和WinBUGS代码的每一个细节-用生态语言和生态示例编写-包含书中包含的所有代码的Companion Web附录附加材料（包括更多的代码和练习的解决方案）-教程的方式向生态学家展示了如何在他们面临的实际问题中实现贝叶斯分析
Bayesian statistics has exploded into biology and its sub-disciplines such as ecology over the past decade. The free software program WinBUGS and its open-source sister OpenBugs is currently the only flexible and general-purpose program available with which the average ecologist can conduct their own standard and non-standard Bayesian statistics. Introduction to WINBUGS for Ecologists goes right to the heart of the matter by providing ecologists with a comprehensive, yet concise, guide to applying WinBUGS to the types of models that they use most often: linear (LM), generalized linear (GLM), linear mixed (LMM) and generalized linear mixed models (GLMM).Introduction to WinBUGS for Ecologists combines the use of simulated data sets "paired" analyses using WinBUGS (in a Bayesian framework for analysis) and in R (in a frequentist mode of inference) and uses a very detailed step-by-step tutorial presentation style that really lets the reader repeat every step of the application of a given mode in their own research. - Introduction to the essential theories of key models used by ecologists - Complete juxtaposition of classical analyses in R and Bayesian Analysis of the same models in WinBUGS- Provides every detail of R and WinBUGS code required to conduct all analyses- Written with ecological language and ecological examples- Companion Web Appendix that contains all code contained in the book, additional material (including more code and solutions to exercises)- Tutorial approach shows ecologists how to implement Bayesian analysis in practical problems that they face