A Berry-Esseen Type Bound for the Kernel Density Estimator of Length-Biased Data

Length-biased data are widely seen in applications. They are mostly applicable in epidemiological studies or survival analysis in medical researches. Here we aim to propose a Berry-Esseen type bound for the kernel density estimator of this kind of data.The rate of normal convergence in the proposed...

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Main Authors: P. Asghari, V. Fakoor, M. Sarmad
Format: Article
Language:English
Published: University of Tehran 2015-09-01
Series:Journal of Sciences, Islamic Republic of Iran
Subjects:
Online Access:https://jsciences.ut.ac.ir/article_55314_84b4409865483c3736c46be5ce3efb54.pdf
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author P. Asghari
V. Fakoor
M. Sarmad
author_facet P. Asghari
V. Fakoor
M. Sarmad
author_sort P. Asghari
collection DOAJ
description Length-biased data are widely seen in applications. They are mostly applicable in epidemiological studies or survival analysis in medical researches. Here we aim to propose a Berry-Esseen type bound for the kernel density estimator of this kind of data.The rate of normal convergence in the proposed Berry-Esseen type theorem is shown to be O(n^(-1/6) ) modulo logarithmic term as n tends to infinity by a proper choice of the bandwidth.The results of a simulation study is also presented in this paper inorder to examine the performance of the result.
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institution Kabale University
issn 1016-1104
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language English
publishDate 2015-09-01
publisher University of Tehran
record_format Article
series Journal of Sciences, Islamic Republic of Iran
spelling doaj-art-cc4f556660ce4c8d8d7d6d1c189b900b2025-08-20T03:54:07ZengUniversity of TehranJournal of Sciences, Islamic Republic of Iran1016-11042345-69142015-09-0126326527255314A Berry-Esseen Type Bound for the Kernel Density Estimator of Length-Biased DataP. Asghari0V. Fakoor1M. Sarmad2Department of Statistics, Faculty of Mathematical Sciences, Ferdowsi University of Mashhad, Mashhad, Islamic Republic of Iran.Department of Statistics, Faculty of Mathematical Sciences, Ferdowsi University of Mashhad, Mashhad, Islamic Republic of Iran.Department of Statistics, Faculty of Mathematical Sciences, Ferdowsi University of Mashhad, Mashhad, Islamic Republic of Iran.Length-biased data are widely seen in applications. They are mostly applicable in epidemiological studies or survival analysis in medical researches. Here we aim to propose a Berry-Esseen type bound for the kernel density estimator of this kind of data.The rate of normal convergence in the proposed Berry-Esseen type theorem is shown to be O(n^(-1/6) ) modulo logarithmic term as n tends to infinity by a proper choice of the bandwidth.The results of a simulation study is also presented in this paper inorder to examine the performance of the result.https://jsciences.ut.ac.ir/article_55314_84b4409865483c3736c46be5ce3efb54.pdfasymptotic normalityberry-esseen theoremkernel estimatorrate of convergencelength-biased
spellingShingle P. Asghari
V. Fakoor
M. Sarmad
A Berry-Esseen Type Bound for the Kernel Density Estimator of Length-Biased Data
Journal of Sciences, Islamic Republic of Iran
asymptotic normality
berry-esseen theorem
kernel estimator
rate of convergence
length-biased
title A Berry-Esseen Type Bound for the Kernel Density Estimator of Length-Biased Data
title_full A Berry-Esseen Type Bound for the Kernel Density Estimator of Length-Biased Data
title_fullStr A Berry-Esseen Type Bound for the Kernel Density Estimator of Length-Biased Data
title_full_unstemmed A Berry-Esseen Type Bound for the Kernel Density Estimator of Length-Biased Data
title_short A Berry-Esseen Type Bound for the Kernel Density Estimator of Length-Biased Data
title_sort berry esseen type bound for the kernel density estimator of length biased data
topic asymptotic normality
berry-esseen theorem
kernel estimator
rate of convergence
length-biased
url https://jsciences.ut.ac.ir/article_55314_84b4409865483c3736c46be5ce3efb54.pdf
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