Some kernel estimators for varextropy function under length-biased sampling

In this article, we propose nonparametric estimators for varextropy function under length-biased sampling. Asymptotic properties of the estimators are established under suitable regularity conditions. Moreover, a simulation study is accomplished to compare the performance of the proposed estimators....

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Bibliographic Details
Published inCommunications in statistics. Simulation and computation Vol. 54; no. 6; pp. 1557 - 1577
Main Authors Zamini, Raheleh, Goodarzi, Faranak, Hashemi, Farzane
Format Journal Article
LanguageEnglish
Published Taylor & Francis 03.06.2025
Subjects
Asymptotic normality
Length-biased sampling
Strong consistency
Varextropy
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Summary:In this article, we propose nonparametric estimators for varextropy function under length-biased sampling. Asymptotic properties of the estimators are established under suitable regularity conditions. Moreover, a simulation study is accomplished to compare the performance of the proposed estimators. Furthermore, two real datasets are used to evaluate the performance of the varextropy estimators.
ISSN:0361-0918
1532-4141
DOI:10.1080/03610918.2023.2289354