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:: Volume 1, Issue 2 (2-2008) ::
JSS 2008, 1(2): 95-108 Back to browse issues page
Comparing Risks of Estimators in Multiple Regression Model with Multivariate t Errors
Mohammad Arashi * , Mahammad Mahdi Tabatabaei
Abstract:   (25592 Views)
In this paper, we obtain the generalized least square, restricted generalized least square and shrinkage estimators for the regression vector parameter assuming that the errors have multivariate t distribution. Also we calculate their quadratic risks and propose the dominance order of the underlying estimators.
Keywords: Generalized Least Square Estimator, Restricted Generalized Least Square Estimator, Shrinkage Estimator, Inverse Wishart Distribution.
Full-Text [PDF 508 kb]   (4077 Downloads)    
Type of Study: Research | Subject: Statistical Inference
Received: 2011/07/4 | Accepted: 2013/08/13 | Published: 2020/02/18
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Arashi M, Tabatabaei M M. Comparing Risks of Estimators in Multiple Regression Model with Multivariate t Errors. JSS 2008; 1 (2) :95-108
URL: http://jss.irstat.ir/article-1-6-en.html


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Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Volume 1, Issue 2 (2-2008) Back to browse issues page
مجله علوم آماری – نشریه علمی پژوهشی انجمن آمار ایران Journal of Statistical Sciences

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