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S. J. Wu, Y. J. Chen and C. T. Chang, “Statistical Inference Based on Progressively Censored Samples with Random Removals from the Burr Type XII Distribution,” Journal of Statistical Computation and Simulation, Vol. 77, No. 1, 2007, pp. 19-27. doi:10.1080/10629360600569204

has been cited by the following article:

• TITLE: Maximum Likelihood Estimation for Generalized Pareto Distribution under Progressive Censoring with Binomial Removals

  AUTHORS: Bander Al-Zahrani

  KEYWORDS: Pareto Distribution; Binomial Removal; Progressive Censoring; Maximum Likelihood Estimator

  JOURNAL NAME: Open Journal of Statistics, Vol.2 No.4, October 31, 2012

  ABSTRACT: 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 results