Nonparametric estimators for quantile density function under length-biased sampling
Mahboubeh Akbari,
Majid Rezaei,
Sarah Jomhoori and
Vahid Fakoor
Communications in Statistics - Theory and Methods, 2019, vol. 48, issue 19, 4918-4935
Abstract:
In this article, the strong uniform consistency of two nonparametric estimators for the quantile density function is established under length-biased sampling. The rate of the strong approximation of the resulting processes of these estimators will be presented as well. A Monte Carlo simulation study is carried out to compare the proposed estimators with each other in terms of mean squared errors.
Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:taf:lstaxx:v:48:y:2019:i:19:p:4918-4935
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DOI: 10.1080/03610926.2018.1549245
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