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has been cited by the following article:

• TITLE: Maximum Likelihood Estimation of the Parameters of Exponentiated Generalized Weibull Based on Progressive Type II Censored Data

  AUTHORS: Ibrahim Sawadogo, Leo Odongo, Ibrahim Ly

  KEYWORDS: Maximum Likelihood, Type II Censored Data, Exponentiated Generalized Weibull, EM-Algorithm

  JOURNAL NAME: Open Journal of Statistics, Vol.7 No.6, December 6, 2017

  ABSTRACT: Exponentiated Generalized Weibull distribution is a probability distribution which generalizes the Weibull distribution introducing two more shapes parameters to best adjust the non-monotonic shape. The parameters of the new probability distribution function are estimated by the maximum likelihood method under progressive type II censored data via expectation maximization algorithm.