Abstract
The estimates, via maximum likelihood, moment method and probability plot, of the parameters in the generalized exponential distribution under progressive type-I interval censoring are studied. A simulation is conducted to compare these estimates in terms of mean squared errors and biases. Finally, these estimate methods are applied to a real data set based on patients with plasma cell myeloma in order to demonstrate the applicabilities.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 1581-1591 |
| Number of pages | 11 |
| Journal | Computational Statistics and Data Analysis |
| Volume | 54 |
| Issue number | 6 |
| DOIs | |
| State | Published - Jun 1 2010 |
| Externally published | Yes |
Keywords
- EM algorithm
- Maximum likelihood estimate
- Method of moments
- Type-I interval censoring
ASJC Scopus subject areas
- Statistics and Probability
- Computational Mathematics
- Computational Theory and Mathematics
- Applied Mathematics
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