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Estimation of Distribution Function Based on Presmoothed Relative-Risk Function
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作者 Abdurakhim Akhmedovich Abdushukurov Sukhrob Bakhodirovich Bozorov Dilshod Ravilovich Mansurov 《Applied Mathematics》 2022年第2期191-204,共14页
In this article, the lifetime data subjecting to right random censoring is considered. Nonparametric estimation of the distribution function based on the conception of presmoothed estimation of relative-risk function ... In this article, the lifetime data subjecting to right random censoring is considered. Nonparametric estimation of the distribution function based on the conception of presmoothed estimation of relative-risk function and the properties of the estimator by using methods of numerical modeling are discussed. In the model under consideration, the estimates were compared using numerical methods to determine which of the estimates is actually better. 展开更多
关键词 Random Censorship Product-Limit Relative Risk Presmoothed Proportional Hazards Asymptotic Representation Strong Consistency Asymptotic Normality
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