A semiparametric Bayesian model for randomised block designs
A semiparametric Bayesian model for randomised block designs
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DOI：
10.1093/biomet/83.2.275
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发表时间：
1996-06-01
期刊：
影响因子：
2.7
通讯作者：
MacEachern, SN
中科院分区：
文献类型：
--
作者：
Bush, CA;MacEachern, SN
提出了一种用于随机区组实验的贝叶斯半参数分析的模型。该模型是一个分层模型，中间插入狄利克雷过程以分布块效应。该模型允许块效应的任意分布，并且可以有效估计治疗对比、块效应和块效应的分布。提出了一种有效的计算策略来描述后验分布。
A model is proposed for a Bayesian semiparametric analysis of randomised block experiments. The model is a hierarchical model in which a Dirichlet process is inserted at the middle stage for the distribution of the block effects. This model allows an arbitrary distribution of block effects, and it results in effective estimates of treatment contrasts, block effects and the distribution of block effects. An effective computational strategy is presented for describing the posterior distribution.