Estimation for the Exponentiated Exponential Distribution Based on Multiply Type-II Censored Samples

Estimation for the Exponentiated Exponential Distribution Based on Multiply Type-II Censored Samples

It has been known that the exponentiated exponential distribution can be used as a possible alternative to the gamma distribution or the Weibull distribution in many situations. But the maximum likelihood method does not admit explicit solutions when the sample is multiply censored. So we derive the approximate maximum likelihood estimators for the location and scale parameters in the exponentiated exponential distribution that are explicit function of order statistics. We also compare the proposed estimators in the sense of the mean squared error for various censored samples.