Semi-Parametric Estimator of the Quantile in an Informative Model of Random Censoring

In the informative model of competing risks, an estimator for the quantile function is constructed with the use of the semi-parametrical power estimator for the distribution function. The asymptotic normality of this estimator is established.

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Bibliographic Details
Published in:Journal of mathematical sciences (New York, N.Y.) N.Y.), 2022-10, Vol.267 (1), p.117-121
Main Authors: Abdushukurov, A. A., Holmurodov, F.M.
Format: Article
Language:English
Subjects:
Analysis
Censorship
Distribution (Probability theory)
Distribution functions
Electric power distribution
Mathematics
Mathematics and Statistics
Normality
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Description
Summary:In the informative model of competing risks, an estimator for the quantile function is constructed with the use of the semi-parametrical power estimator for the distribution function. The asymptotic normality of this estimator is established.
ISSN:1072-3374
1573-8795
DOI:10.1007/s10958-022-06113-2