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Status已发表Published
TitleBayesian Influence Assessments in a Growth Curve Model with General Covariance Structure
Creator
Date Issued1999-02
Source PublicationChinese Journal of Applied Probability and Statistics
ISSN1001-4268
Volume15Issue:1Pages:53-62
Abstract

The problem considered here is to assess the Bayesian influence on the unknown parameter matrices in a growth curve model with the general covariance structure. Under the non-information prior distribution assumption, the Kullback-Leibler divergence is employed to evaluate the effect of a designated response matrix on the posterior distribution of the parameter matrix.

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Indexed By中文核心期刊要目总览
Language英语English
Document TypeJournal article
Identifierhttp://repository.uic.edu.cn/handle/39GCC9TT/8389
CollectionResearch outside affiliated institution
Affiliation
1.Yunan University
2.Wuhan University
Recommended Citation
GB/T 7714
Bai, Peng,Pan, Jianxin,Fei, Yu. Bayesian Influence Assessments in a Growth Curve Model with General Covariance Structure[J]. Chinese Journal of Applied Probability and Statistics, 1999, 15(1): 53-62.
APA Bai, Peng, Pan, Jianxin, & Fei, Yu. (1999). Bayesian Influence Assessments in a Growth Curve Model with General Covariance Structure. Chinese Journal of Applied Probability and Statistics, 15(1), 53-62.
MLA Bai, Peng,et al."Bayesian Influence Assessments in a Growth Curve Model with General Covariance Structure". Chinese Journal of Applied Probability and Statistics 15.1(1999): 53-62.
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