Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1145295 | Journal of Multivariate Analysis | 2016 | 20 Pages |
Abstract
This article studies the weak convergence and associated Central Limit Theorem for blurring and nonblurring processes. Then, they are applied to the estimation of location parameter. Simulation studies show that the location estimation based on the convergence point of blurring process is more robust and often more efficient than that of nonblurring process.
Related Topics
Physical Sciences and Engineering
Mathematics
Numerical Analysis
Authors
Ting-Li Chen, Hironori Fujisawa, Su-Yun Huang, Chii-Ruey Hwang,