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:: Volume 4, Issue 2 (3-2011) ::
JSS 2011, 4(2): 183-192 Back to browse issues page
Minimax Generalized Bayes Estimator of Normal Mean Vector with Unknown Covariance Matrix
Shokofeh Zeinodini , Ahmad Parsian *
Abstract:   (20707 Views)
In this paper, a class of generalized Bayes Minimax estimators of the mean vector of a normal distribution with unknown positive definite covariance matrix is obtained under the sum of squared error loss function. It is shown that this class is an extension of the class obtained by Lin and Tasi (1973).
Keywords: Generalized Bayes Estimator, Minimax Estimator, Normal Mean Vector
Full-Text [PDF 1379 kb]   (4697 Downloads)    
Type of Study: Research | Subject: Statistical Inference
Received: 2012/04/21 | Accepted: 2012/04/21 | Published: 2020/02/18
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Zeinodini S, Parsian A. Minimax Generalized Bayes Estimator of Normal Mean Vector with Unknown Covariance Matrix. JSS 2011; 4 (2) :183-192
URL: http://jss.irstat.ir/article-1-117-en.html


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Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Volume 4, Issue 2 (3-2011) Back to browse issues page
مجله علوم آماری – نشریه علمی پژوهشی انجمن آمار ایران Journal of Statistical Sciences

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