Volume 3, Issue 1 (9-2017)
mmr 2017, 3(1): 57-74 |
Back to browse issues page
Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
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: (2252 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
| Rights and permissions | |
 |
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. |
