Abstract
We consider the estimation of the variance ratio of two normal populations with unknown means. Two smooth estimators that improve on the best affine equivariant estimator (BAEE), under a large class of bowl-shaped loss functions, are derived. A numerical study is performed to get a feel for the magnitude of risk reduction when these estimators are used instead of the BAEE.
| Original language | English |
|---|---|
| Pages (from-to) | 349-357 |
| Number of pages | 9 |
| Journal | Journal of Statistical Planning and Inference |
| Volume | 44 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - 1995 |
Keywords
- Bowl-shaped loss functions
- Risk reduction
- Smooth estimation
ASJC Scopus subject areas
- Statistics and Probability
- Statistics, Probability and Uncertainty
- Applied Mathematics