Some Asymptotic Results of Kernel Density Estimator in Length-Biased Sampling

In this paper, we prove the strong uniform consistency and asymptotic normality of the kernel density estimator proposed by Jones [12] for length-biased data.The approach is based on the invariance principle for the empirical processes proved by Horváth [10]. All simulations are drawn for different...

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Main Authors: M. Ajami, V. Fakoor, S. Jomhoori
Format: Article
Language:English
Published: University of Tehran 2013-03-01
Series:Journal of Sciences, Islamic Republic of Iran
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Online Access:https://jsciences.ut.ac.ir/article_31923_6ffab824d9a053a13108a5d09cad8ebb.pdf
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author M. Ajami
V. Fakoor
S. Jomhoori
author_facet M. Ajami
V. Fakoor
S. Jomhoori
author_sort M. Ajami
collection DOAJ
description In this paper, we prove the strong uniform consistency and asymptotic normality of the kernel density estimator proposed by Jones [12] for length-biased data.The approach is based on the invariance principle for the empirical processes proved by Horváth [10]. All simulations are drawn for different cases to demonstrate both, consistency and asymptotic normality and the method is illustrated by real automobile brake pads data.
format Article
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issn 1016-1104
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language English
publishDate 2013-03-01
publisher University of Tehran
record_format Article
series Journal of Sciences, Islamic Republic of Iran
spelling doaj-art-2cd69fcb1a1a471aaf55c9b10b914d182025-08-20T03:08:50ZengUniversity of TehranJournal of Sciences, Islamic Republic of Iran1016-11042345-69142013-03-01241556231923Some Asymptotic Results of Kernel Density Estimator in Length-Biased SamplingM. Ajami0V. Fakoor1S. Jomhoori2Department of Statistics, School of Mathematical Sciences, Ferdowsi University of Mashhad, Mashhad, Islamic Republic of IranDepartment of Statistics, School of Mathematical Sciences, Ferdowsi University of Mashhad, Mashhad, Islamic Republic of IranDepartment of Statistics, Faculty of Sciences, University of Birjand, Birjand, Islamic Republic of IranIn this paper, we prove the strong uniform consistency and asymptotic normality of the kernel density estimator proposed by Jones [12] for length-biased data.The approach is based on the invariance principle for the empirical processes proved by Horváth [10]. All simulations are drawn for different cases to demonstrate both, consistency and asymptotic normality and the method is illustrated by real automobile brake pads data.https://jsciences.ut.ac.ir/article_31923_6ffab824d9a053a13108a5d09cad8ebb.pdfasymptotic normalitylength-biasedstrong consistencystrong gaussian approximation
spellingShingle M. Ajami
V. Fakoor
S. Jomhoori
Some Asymptotic Results of Kernel Density Estimator in Length-Biased Sampling
Journal of Sciences, Islamic Republic of Iran
asymptotic normality
length-biased
strong consistency
strong gaussian approximation
title Some Asymptotic Results of Kernel Density Estimator in Length-Biased Sampling
title_full Some Asymptotic Results of Kernel Density Estimator in Length-Biased Sampling
title_fullStr Some Asymptotic Results of Kernel Density Estimator in Length-Biased Sampling
title_full_unstemmed Some Asymptotic Results of Kernel Density Estimator in Length-Biased Sampling
title_short Some Asymptotic Results of Kernel Density Estimator in Length-Biased Sampling
title_sort some asymptotic results of kernel density estimator in length biased sampling
topic asymptotic normality
length-biased
strong consistency
strong gaussian approximation
url https://jsciences.ut.ac.ir/article_31923_6ffab824d9a053a13108a5d09cad8ebb.pdf
work_keys_str_mv AT majami someasymptoticresultsofkerneldensityestimatorinlengthbiasedsampling
AT vfakoor someasymptoticresultsofkerneldensityestimatorinlengthbiasedsampling
AT sjomhoori someasymptoticresultsofkerneldensityestimatorinlengthbiasedsampling