Abstract
Consider m random samples which are independently drawn from m shifted exponential distributions, with respective location parameters θ1, θ2, . . . , θm and common scale parameter σ. On the basis of the given samples and in a Bayesian framework, we address the problem of estimating the scale parameter σ and the parametric function γ = Σmi=1 aiθi + bσ. Our proposed Bayesian estimators are compared, via a Monte Carlo study, to the invariant estimators proposed by Madi and Tsui (1990) and Rukhin and Zidek (1985) in terms of risk improvements on the best affine equivariant estimators.
| Original language | English |
|---|---|
| Pages (from-to) | 345-351 |
| Number of pages | 7 |
| Journal | Journal of Statistical Planning and Inference |
| Volume | 55 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - Nov 8 1996 |
Keywords
- Bayes estimators
- Risk improvements
- Robustness
- Scale parameter
- Squared error loss
ASJC Scopus subject areas
- Statistics and Probability
- Statistics, Probability and Uncertainty
- Applied Mathematics