Minimum variance unbiased estimation in natural exponential families generated by stable distributions |
| |
Authors: | Park Euhyoon Shaul k Bar-Lev |
| |
Affiliation: | 1. Department of computer science and statistics , Gyeongsang national univ , Chinju, 620, Korea;2. Department of statistics , University of haifa , Haifa, 31999, Israel |
| |
Abstract: | The class of nature exponential families generated by stable distributions has been introduced in different contexts by several authors. Tweedie (1984) and Jorgensen (1987) studied this class in the context of generalized liner models and exponential dispersion models. Bar-Lev and Enis (1986) introduced this class in the context of the property of reproducibility in natural exponential families and Hougaard (1986) found the distributions in this class to be natural candidates for applications as survival distributions in life tables for heterogeneous populations. In this note, we consider such a class in the context of minimum variance unbiased estimation. For each family in this class, we obtain an explicit expression for the uniformly minimum variance unbiased estimator for the r-th cumlant, the density function, and the reliability function. |
| |
Keywords: | natural exponential families natural exponential families with power variance functions reproducible families stable distributions uniformly minimum variance unbiased estimation |
|
|