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首页> 外文期刊>Journal of Modern Applied Statistical Methods >A Comparative Study of Bayesian Model Selection Criteria for Capture-Recapture Models for Closed Populations
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A Comparative Study of Bayesian Model Selection Criteria for Capture-Recapture Models for Closed Populations

机译:封闭种群捕获-捕获模型的贝叶斯模型选择准则比较研究

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摘要

Capture-Recapture models estimate unknown population sizes. Eight standard closed population models exist, allowing for time, behavioral, and heterogeneity effects. Bayesian versions of these models are presented and use of Akaike's Information Criterion (AIC) and the Deviance Information Criterion (DIC) are explored as model selection tools, through simulation and real dataset analysis.
机译:捕获-捕获模型估计未知的人口规模。存在八个标准的封闭人口模型,可以考虑时间,行为和异质性的影响。提出了这些模型的贝叶斯版本,并通过模拟和真实数据集分析,探索了Akaike信息准则(AIC)和偏差信息准则(DIC)的使用作为模型选择工具。

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