Abstract
For the generalized exponential (GE) distribution, the maximum likelihood method does not provide an explicit estimator for the scale parameter based on a progressively Type-II censored sample. This paper provides a simple method of deriving an explicit estimator by approximating the likelihood function. A Monte Carlo simulation is used to investigate the accuracy of this estimator and two examples are given to illustrate this method of estimation.
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