Estimation of Distribution Function Based on Presmoothed Relative-Risk Function
A. A. AbdushukurovMoscow State University Tashkent Branch, Tashkent, UzbekistanSukhrob B. BozorovGuliston State University, Gulistan, UzbekistanDilshod MansurovNavoi State Pedagogical Institute, Navoi, Uzbekistan
ABI
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.
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