The paper deals with the estimation problem for the generalized Pareto distribution based on progressive type-II censoring with random removals. The number of components removed at each failure time is assumed to follow a binomial distribution. Maximum likelihood estimators and the asymptotic variance-covariance matrix of the estimates are obtained. Finally, a numerical example is given to illustrate the obtained
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机译：statistical analysis of type-II progressively hybrid censored samples and adaptive type-II progressively hybrid censored samples from extreme value distribution.
