On a Correction of the Scale MLE for a Two-Parameter Exponential Distribution Under Progressive Type-Ⅰ Censoring

摘要

In this article, we present a correctedversion of the maximum likelihood estimator (MLE) of the scale parameter with progressively Type-Ⅰ censored data from a two-parameter exponential distribution. Furthermore, we propose a bias correction of both the location and scale MLE. The properties of the. estimates are analyzed by a simulation study which also illustrates the effect of the correction. Moreover, the presented estimators are applied to two data sets. Finally, it is shown that the correction of the scale estimator is also necessary for other distributions with a finite left endpoint of support (e.g., three-parameter Weibull distributions).