Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
418177 | Computational Statistics & Data Analysis | 2007 | 11 Pages |
Abstract
The problem of estimating the width of the symmetric uniform distribution on the line when data are measured with normal additive error is considered. The main purpose is to discuss the efficiency of the maximum likelihood estimator and the moment method estimator. It is shown that the model is regular and that the maximum likelihood estimator is more efficient than the moment method estimator. A sufficient condition is also given for the existence of both estimators.
Related Topics
Physical Sciences and Engineering
Computer Science
Computational Theory and Mathematics
Authors
Mirta Benšić, Kristian Sabo,