Asymptotic properties of the straight line estimator for a renewal function

In estimation problems in renewal function, when the distribution is not known, nonparametric estimators of renewal function are used. Frees (1986a, Warranty analysis and renewal function estimation, Naval Res. Logist. Quart, 33, 361-372) proposed the nonparametric estimator of renewal function for...

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Main Authors: Gökpınar, Esra, Khaniyev, Tahir, Gamgam, Hamza
Format: Article
Language:English
Published: Universiti Kebangsaan Malaysia 2015
Online Access:http://journalarticle.ukm.my/8990/
http://journalarticle.ukm.my/8990/
http://journalarticle.ukm.my/8990/1/17_Esra_Gokpinar.pdf
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recordtype eprints
spelling ukm-89902016-12-14T06:48:38Z http://journalarticle.ukm.my/8990/ Asymptotic properties of the straight line estimator for a renewal function Gökpınar, Esra Khaniyev, Tahir Gamgam, Hamza In estimation problems in renewal function, when the distribution is not known, nonparametric estimators of renewal function are used. Frees (1986a, Warranty analysis and renewal function estimation, Naval Res. Logist. Quart, 33, 361-372) proposed the nonparametric estimator of renewal function for large values of t. Frees’s estimator is easy to apply in practice. It is a preferred estimator for large values of t. However, its statistical properties still have not been investigated in detailed. For this reason, in this study, we investigate asymptotic properties of this estimator such as consistency, asymptotic unbiasedness and asymptotic normality. Also Monte Carlo simulation study is given to assess the performance of this estimator according to value of renewal function. Simulation results indicate that in the large values of t, Frees estimator is sufficiently close to the renewal function for the Gamma distribution with various parameters. Universiti Kebangsaan Malaysia 2015-07 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/8990/1/17_Esra_Gokpinar.pdf Gökpınar, Esra and Khaniyev, Tahir and Gamgam, Hamza (2015) Asymptotic properties of the straight line estimator for a renewal function. Sains Malaysiana, 44 (7). pp. 1041-1051. ISSN 0126-6039 http://www.ukm.my/jsm/malay_journals/jilid44bil7_2015/KandunganJilid44Bil7_2015.html
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institution Universiti Kebangasaan Malaysia
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language English
description In estimation problems in renewal function, when the distribution is not known, nonparametric estimators of renewal function are used. Frees (1986a, Warranty analysis and renewal function estimation, Naval Res. Logist. Quart, 33, 361-372) proposed the nonparametric estimator of renewal function for large values of t. Frees’s estimator is easy to apply in practice. It is a preferred estimator for large values of t. However, its statistical properties still have not been investigated in detailed. For this reason, in this study, we investigate asymptotic properties of this estimator such as consistency, asymptotic unbiasedness and asymptotic normality. Also Monte Carlo simulation study is given to assess the performance of this estimator according to value of renewal function. Simulation results indicate that in the large values of t, Frees estimator is sufficiently close to the renewal function for the Gamma distribution with various parameters.
format Article
author Gökpınar, Esra
Khaniyev, Tahir
Gamgam, Hamza
spellingShingle Gökpınar, Esra
Khaniyev, Tahir
Gamgam, Hamza
Asymptotic properties of the straight line estimator for a renewal function
author_facet Gökpınar, Esra
Khaniyev, Tahir
Gamgam, Hamza
author_sort Gökpınar, Esra
title Asymptotic properties of the straight line estimator for a renewal function
title_short Asymptotic properties of the straight line estimator for a renewal function
title_full Asymptotic properties of the straight line estimator for a renewal function
title_fullStr Asymptotic properties of the straight line estimator for a renewal function
title_full_unstemmed Asymptotic properties of the straight line estimator for a renewal function
title_sort asymptotic properties of the straight line estimator for a renewal function
publisher Universiti Kebangsaan Malaysia
publishDate 2015
url http://journalarticle.ukm.my/8990/
http://journalarticle.ukm.my/8990/
http://journalarticle.ukm.my/8990/1/17_Esra_Gokpinar.pdf
first_indexed 2023-09-18T19:53:42Z
last_indexed 2023-09-18T19:53:42Z
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