Mathematics – Statistics Theory
Scientific paper
2007-10-05
Mathematics
Statistics Theory
29 pages
Scientific paper
In this article we provide some nonnegative and positive estimators of the mean squared errors(MSEs) for shrinkage estimators of multivariate normal means. Proposed estimators are shown to improve on the uniformly minimum variance unbiased estimator(UMVUE) under a quadratic loss criterion. A similar improvement is also obtained for the estimators of the MSE matrices for shrinkage estimators. We also apply the proposed estimators of the MSE matrix to form confidence sets centered at shrinkage estimators and show their usefulness through numerical experiments.
Hara Hisayuki
No associations
LandOfFree
Improved estimation of the MSEs and the MSE matrices for shrinkage estimators of multivariate normal means and their applications does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Improved estimation of the MSEs and the MSE matrices for shrinkage estimators of multivariate normal means and their applications, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Improved estimation of the MSEs and the MSE matrices for shrinkage estimators of multivariate normal means and their applications will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-328854