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

• 作者: Ibrahim Ly Ibrahim Sawadogo Leo Odongo
• 来源期刊: 统计学期刊(英文)
• 学科: 数学
• 关键词: MAXIMUM LIKELIHOOD Type II Censored DATA Exponentiated GENERALIZED Weibull EM-Algorithm
• 年，卷（期）: tjxqkyw_2017,（6）
• 页码范围: 956-963
• 页数: 8页
• 分类号: O1

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.