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

作　　者：Ibrahim Sawadogo Leo Odongo Ibrahim Ly 

机构地区：[1]Pan African University Institute of Science, Technology and Innovation, Nairobi, Kenya [2]Department of Statistics and Actuarial Science, Kenyatta University (KU), Nairobi, Kenya [3]Department of Mathematics, University of Ouagadougou, Ouagadougou, Burkina Faso [4]Department of Mathematics, University of Potsdam, Potsdam, Germany

出　　处：《Open Journal of Statistics》2017年第6期956-963,共8页统计学期刊（英文）

摘　　要：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.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.

关 键 词：MAXIMUM LIKELIHOOD Type II Censored Data Exponentiated GENERALIZED Weibull EM-ALGORITHM 

分 类 号：O1[理学—数学]