Assessing Performance of the Generalized Exponential Model in the Presence of the Interval Censored Data with Covariate
This study aims to extend the generalized exponential model (GEM) to include covariates in the presence of interval-censored data. The maximum likelihood estimator (MLE) was obtained for the parameter of the model formulated. Afterward, a thorough simulation study was carried out to evaluate the est...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Austrian Statistical Society
2022-01-01
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| Series: | Austrian Journal of Statistics |
| Online Access: | https://www.ajs.or.at/index.php/ajs/article/view/1192 |