Title

Improved Maximum-Likelihood Estimation for the Common Shape of Several Weibull Distributions

Publication Type

Journal Article

Publication Date

2007

Abstract

The biasness problem of the maximum-likelihood estimate (MLE) of the common shape parameter of several Weibull populations is examined in detail. A modified MLE (MMLE) approach is proposed. In the case of complete and Type II censored data, the bias of the MLE can be substantial. This is noticeable even when the sample size is large. Such a bias increases rapidly as the degree of censorship increases and as more populations are involved. The proposed MMLE, however, is nearly unbiased and much more efficient than the MLE, irrespective of the degree of censorship, the sample sizes, and the number of populations involved. Copyright © 2007 John Wiley & Sons, Ltd. [ABSTRACT FROM AUTHOR]

Discipline

Econometrics

Research Areas

Econometrics

Publication

Applied Stochastic Models in Business and Industry

Volume

23

Issue

5

First Page

373-383

ISSN

1524-1904

This document is currently not available here.

Share

COinS