Volume 3, Issue 1 (9-2017)
mmr 2017, 3(1): 57-74 |
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shams M. Invariant Empirical Bayes Confidence Interval for Mean Vector of Normal Distribution and its Generalization for Exponential Family. mmr 2017; 3 (1) :57-74
URL: http://mmr.khu.ac.ir/article-1-2648-en.html
URL: http://mmr.khu.ac.ir/article-1-2648-en.html
Abstract: (2535 Views)
Based on a given Bayesian model of multivariate normal with known variance matrix we will find an empirical Bayes confidence interval for the mean vector components which have normal distribution. We will find this empirical Bayes confidence interval as a conditional form on ancillary statistic. In both cases (i.e. conditional and unconditional empirical Bayes confidence interval), the empirical Bayes confidence interval is invariant w.r.t. the group with given confidence level. Finally the problem can be generalized for the exponential family.
Type of Study: Original Manuscript |
Subject:
stat
Received: 2017/07/1 | Revised: 2017/12/25 | Accepted: 2017/07/1 | Published: 2017/07/1 | ePublished: 2017/07/1
Received: 2017/07/1 | Revised: 2017/12/25 | Accepted: 2017/07/1 | Published: 2017/07/1 | ePublished: 2017/07/1
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