Estimation of a linear function of the parameters of an exponential distribution from doubly censored samples
In this paper improved estimators of the scale and its reciprocal, [theta](0-1), and the location, [mu], of a two-parameter exponential distribution are given based on a doubly censored sample. Also the problem of estimating the linear function [mu] + z[theta] is considered, where z is a given constant. It is shown that the improved estimators are better than the best affine equivariant estimators.
Year of publication: |
1997
|
---|---|
Authors: | Elfessi, Abdulaziz |
Published in: |
Statistics & Probability Letters. - Elsevier, ISSN 0167-7152. - Vol. 36.1997, 3, p. 251-259
|
Publisher: |
Elsevier |
Keywords: | Exponential distribution Scale and location parameters Censored samples Equivariant estimator Admissible estimator |
Saved in:
Saved in favorites
Similar items by person
-
A Clustering Method for Categorical Data in Tourism Market Segmentation Research
Arimond, George, (2001)
-
On robust estimation of the common scale parameter of several Pareto distributions
Elfessi, Abdulaziz, (1996)
-
Teaching Introductory Microeconomics with an In-Class Collaborative Learning Lab Component
Khandker, Wahhab, (2000)
- More ...