摘要
本文讨论具有Rao简单协方差结构(RSS)的增长曲线模型中未知参数矩阵的Bayes影响分析问题,在无信息先验分布假设下,K-L距离被用来评估指定响应阵对参数矩阵的后验分布的影响程度。
In this paper, We consider the Bayesian influence on the unknown parameter matrix in a growth curve model with Rao's simple covariance structure (RSS). Under the non-information prior distribution assumption, the K-L divergence is used to evaluate the effect of a designated response matrix on the posterior distribition of the parameter matrix.
出处
《应用概率统计》
CSCD
北大核心
1996年第3期247-254,共8页
Chinese Journal of Applied Probability and Statistics
