文章基本信息

标题：Maximum likelihood estimation based on type-i hybrid progressive censored competing risks data
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作者：Samir Ashour ; Wael Abu El Azm
期刊名称：International Journal of Advanced Statistics and Probability
电子版ISSN：2307-9045
出版年度：2016
卷号：4
期号：1
页码：20-26
DOI：10.14419/ijasp.v4i1.5735
出版社：Journal of Advanced Computer Science & Technology
摘要：This paper is concerned with the estimators problems of the generalized Weibull distribution based on Type-I hybrid progressive censoring scheme (Type-I PHCS) in the presence of competing risks when the cause of failure of each item is known. Maximum likelihood estimates and the corresponding Fisher information matrix are obtained. We generalized Kundu and Joarder [7] results in the case of the exponential distribution while, the corresponding results in the case of the generalized exponential and Weibull distributions may be obtained as a special cases. A real data set is used to illustrate the theoretical results.
关键词：Competing Risks;Type-I Progressive Hybrid Censoring;Generalized Weibull Distributions;Generalized Exponential Distribution;Weibull Distributions;Exponential Distribution;Maximum Likelihood Estimation;Asymptotic Confidence Interval.