Estimation of the hazard rate function in the presence of measurement errors

In this article, according to the importance of the hazard rate function criterion in theevaluation of statistical distributions, its estimation methods are presented. Here, we suggestestimators for the hazard rate function. First, we use the standard deconvolution kerneldensity estimator and sugges...

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Main Authors: Parviz Nasiri, Roghaieh Kheirazar, Abbas Rasouli, Ali Shadrokh
Format: Article
Language:English
Published: Allameh Tabataba'i University Press 2023-09-01
Series:Mathematics and Modeling in Finance
Subjects:
Online Access:https://jmmf.atu.ac.ir/article_16141_8d4a6fb540f82f1bfd090dc3911d9a05.pdf
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author Parviz Nasiri
Roghaieh Kheirazar
Abbas Rasouli
Ali Shadrokh
author_facet Parviz Nasiri
Roghaieh Kheirazar
Abbas Rasouli
Ali Shadrokh
author_sort Parviz Nasiri
collection DOAJ
description In this article, according to the importance of the hazard rate function criterion in theevaluation of statistical distributions, its estimation methods are presented. Here, we suggestestimators for the hazard rate function. First, we use the standard deconvolution kerneldensity estimator and suggest a plug-in estimator. In the following we investigate asymptoticbehavior of our estimator. For another estimator, we construct the new estimation thehazard rate function according plug-in and CDF. Finally, we consider the performance ofthe suggested estimators by simulation. Mean square error of estimators λˆ(t, p), λˆ(t) and λˆc(t) present in tables 1 till 6.
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spelling doaj.art-5ceaf71caed046e4a5f5e7bd2e8d6cd42023-12-19T05:16:31ZengAllameh Tabataba'i University PressMathematics and Modeling in Finance2783-05782783-056X2023-09-0131496610.22054/jmmf.2023.72868.108416141Estimation of the hazard rate function in the presence of measurement errorsParviz Nasiri0Roghaieh Kheirazar1Abbas Rasouli2Ali Shadrokh3University of Payam Noor, Tehran, IranUniversity of Payam Noor, Tehran, IranDepartment of Statistics, Faculty of Sciences, University of Zanjan, Zanjan, IranUniversity of Payam Noor, Tehran, IranIn this article, according to the importance of the hazard rate function criterion in theevaluation of statistical distributions, its estimation methods are presented. Here, we suggestestimators for the hazard rate function. First, we use the standard deconvolution kerneldensity estimator and suggest a plug-in estimator. In the following we investigate asymptoticbehavior of our estimator. For another estimator, we construct the new estimation thehazard rate function according plug-in and CDF. Finally, we consider the performance ofthe suggested estimators by simulation. Mean square error of estimators λˆ(t, p), λˆ(t) and λˆc(t) present in tables 1 till 6.https://jmmf.atu.ac.ir/article_16141_8d4a6fb540f82f1bfd090dc3911d9a05.pdfhazard rate functionadditive measurement errorsstandard deconvolution kernel density estimatormean square errorlocal polynomial estimator
spellingShingle Parviz Nasiri
Roghaieh Kheirazar
Abbas Rasouli
Ali Shadrokh
Estimation of the hazard rate function in the presence of measurement errors
Mathematics and Modeling in Finance
hazard rate function
additive measurement errors
standard deconvolution kernel density estimator
mean square error
local polynomial estimator
title Estimation of the hazard rate function in the presence of measurement errors
title_full Estimation of the hazard rate function in the presence of measurement errors
title_fullStr Estimation of the hazard rate function in the presence of measurement errors
title_full_unstemmed Estimation of the hazard rate function in the presence of measurement errors
title_short Estimation of the hazard rate function in the presence of measurement errors
title_sort estimation of the hazard rate function in the presence of measurement errors
topic hazard rate function
additive measurement errors
standard deconvolution kernel density estimator
mean square error
local polynomial estimator
url https://jmmf.atu.ac.ir/article_16141_8d4a6fb540f82f1bfd090dc3911d9a05.pdf
work_keys_str_mv AT parviznasiri estimationofthehazardratefunctioninthepresenceofmeasurementerrors
AT roghaiehkheirazar estimationofthehazardratefunctioninthepresenceofmeasurementerrors
AT abbasrasouli estimationofthehazardratefunctioninthepresenceofmeasurementerrors
AT alishadrokh estimationofthehazardratefunctioninthepresenceofmeasurementerrors