Maximum likelihood for interval censored data: Consistency and computation
نویسندگان
چکیده
منابع مشابه
Order theory and nonparametric maximum likelihood for interval censored data
Interval censored data arises when individuals can be subjected to periodic inspection at possibly random moments, and their status (e.g. failed or functioning) is ascertained at each inspection. We exploit the order theoretic properties of interval orders to develop a new language describing interval censored data. We show that inference can be based on the set Mof maximal antichains of the da...
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SUMMARY We introduce an algorithm for calculating the nonparametric maximum likelihood estimator of a distribution function when data are interval censored. This algorithm has advantages over existing methods such as the pool-adjacent-violators algorithm and the greatest-convex-minorant algorithm. We establish a theoretical result related to the expected run time of the new method.
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ژورنال
عنوان ژورنال: Biometrika
سال: 1994
ISSN: 0006-3444,1464-3510
DOI: 10.1093/biomet/81.3.618