AM  Vol.13 No.2 , February 2022
Estimation of Distribution Function Based on Presmoothed Relative-Risk Function
Abstract: 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.
Cite this paper: Abdushukurov, A. , Bozorov, S. and Mansurov, D. (2022) Estimation of Distribution Function Based on Presmoothed Relative-Risk Function. Applied Mathematics, 13, 191-204. doi: 10.4236/am.2022.132015.

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