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Contemporary Mathematics. Fundamental Directions, 2022, Volume 68, Issue 1, Pages 1–13
DOI: https://doi.org/10.22363/2413-3639-2022-68-1-1-13
(Mi cmfd448)
 

This article is cited in 1 scientific paper (total in 1 paper)

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

A. A. Abdushukurov

Tashkent Branch of Lomonosov Moscow State University, Tashkent, Uzbekistan
Full-text PDF (206 kB) Citations (1)
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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.
Bibliographic databases:
Document Type: Article
UDC: 519.2
Language: Russian
Citation: A. A. Abdushukurov, “Extension of relative-risk power estimator under dependent random censored data”, Science — Technology — Education — Mathematics — Medicine, CMFD, 68, no. 1, PFUR, M., 2022, 1–13
Citation in format AMSBIB
\Bibitem{Abd22}
\by A.~A.~Abdushukurov
\paper Extension of relative-risk power estimator under dependent random censored data
\inbook Science — Technology — Education — Mathematics — Medicine
\serial CMFD
\yr 2022
\vol 68
\issue 1
\pages 1--13
\publ PFUR
\publaddr M.
\mathnet{http://mi.mathnet.ru/cmfd448}
\crossref{https://doi.org/10.22363/2413-3639-2022-68-1-1-13}
\mathscinet{http://mathscinet.ams.org/mathscinet-getitem?mr=4422553}
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  • This publication is cited in the following 1 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Современная математика. Фундаментальные направления
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    Abstract page:94
    Full-text PDF :50
    References:19
     
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