Analysis of Progressive First-Failure-Censoring for Non-normal Model Using Competing Risks Data
نویسندگان
چکیده
منابع مشابه
Analysis of Progressive First-Failure-Censoring for Non-normal Model Using Competing Risks Data
Competing risks data usually arises in studies in which the death or failure of an individual or an item may be classified into one of T≥2 mutually exclusive causes. In this paper, we will study the competing risks model when the data is progressively first-failure-censored. Based on this type of censoring, we derive the maximum likelihood estimators (MLE's) for the unknown parameters. Approxim...
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In several studies in reliability and in medical science, the cause of failure/death of items or individuals may be attributable to more then one cause. In this paper, we will study the competing risks model when the data is progressively Type-II censored with random removals. We study the model under the assumption of independent causes of failure and exponential lifetimes, where the number of...
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In reliability and survival analysis, the cause of failure/death of items/subjects can be attributed to more than one source. It is well known as the competing risks problem in statistical literature. In this paper, we assume that the lifetime of each unit which fails due to a different cause of failure, follows a Weibull distribution with different parameters. It is further assumed that in the...
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ژورنال
عنوان ژورنال: American Journal of Theoretical and Applied Statistics
سال: 2015
ISSN: 2326-8999
DOI: 10.11648/j.ajtas.20150406.33