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.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 373-383 |
| Number of pages | 11 |
| Journal | Applied Stochastic Models in Business and Industry |
| Volume | 23 |
| Issue number | 5 |
| DOIs | |
| State | Published - Sep 2007 |
All Science Journal Classification (ASJC) codes
- Modeling and Simulation
- General Business, Management and Accounting
- Management Science and Operations Research