Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1145979 | Journal of Multivariate Analysis | 2014 | 11 Pages |
Abstract
In this paper, a shrinkage estimator for the population mean is proposed under known quadratic loss functions with unknown covariance matrices. The new estimator is non-parametric in the sense that it does not assume a specific parametric distribution for the data and it does not require the prior information on the population covariance matrix. Analytical results on the improvement of the proposed shrinkage estimator are provided and some corresponding asymptotic properties are also derived. Finally, we demonstrate the practical improvement of the proposed method over existing methods through extensive simulation studies and real data analysis.
Keywords
Related Topics
Physical Sciences and Engineering
Mathematics
Numerical Analysis
Authors
Cheng Wang, Tiejun Tong, Longbing Cao, Baiqi Miao,