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JOURNALS // Contemporary Mathematics. Fundamental Directions // Archive

CMFD, 2022 Volume 68, Issue 1, Pages 1–13 (Mi cmfd448)

This article is cited in 2 papers

Extension of relative-risk power estimator under dependent random censored data

A. A. Abdushukurov

Tashkent Branch of Lomonosov Moscow State University, Tashkent, Uzbekistan

Abstract: In this paper, the considered problem consists in estimation of conditional survival function by right random censoring model in the presence of a covariate. We propose a new estimator of conditional survival function which is extension of relative-risk power estimator of independent censoring and study its large sample properties. We present result of asymptotic normality with the same limiting Gaussian process as for copula-graphic estimator.

UDC: 519.2

DOI: 10.22363/2413-3639-2022-68-1-1-13



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© Steklov Math. Inst. of RAS, 2026