Abstract
We consider the problem of estimating the scale parameter θ of the shifted exponential distribution with unknown shift based on a set of observed records drawn from a sequential sample of independent and identically distributed random variables. Under a large class of bowl-shaped loss functions, the best affine equivariant estimator (BAEE) of θ is shown to be inadmissible. Two dominating procedures are proposed. A numerical study is performed to show the extent of risk reduction that the improved estimators provide over the BAEE.
| Original language | English |
|---|---|
| Pages (from-to) | 91-97 |
| Number of pages | 7 |
| Journal | Metrika |
| Volume | 63 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - Mar 2006 |
Keywords
- Entropy loss
- Equivariant estimator
- Exponential distribution
- Improved estimation
- Mean squared error
- Record statistics
- Risk reduction
- Scale parameter
ASJC Scopus subject areas
- Statistics and Probability
- Statistics, Probability and Uncertainty
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