Distributional Censored and Uncensored Validation Testing under a Modified Test Statistic with Risk Analysis and Assessment

This paper introduces and studies a unique probability distribution. The maximum likelihood estimation, the ordinary least squares, the weighted least squares, and the Anderson–Darling estimation methods all take into account a number of financial risk indicators, including the value-at-risk, tail-v...

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Main Authors: Yusra Tashkandy, Walid Emam, Gauss M. Cordeiro, M. Masoom Ali, Khaoula Aidi, Haitham M. Yousof, Mohamed Ibrahim
Format: Article
Language:English
Published: Wiley 2023-01-01
Series:Journal of Mathematics
Online Access:http://dx.doi.org/10.1155/2023/8852528
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author Yusra Tashkandy
Walid Emam
Gauss M. Cordeiro
M. Masoom Ali
Khaoula Aidi
Haitham M. Yousof
Mohamed Ibrahim
author_facet Yusra Tashkandy
Walid Emam
Gauss M. Cordeiro
M. Masoom Ali
Khaoula Aidi
Haitham M. Yousof
Mohamed Ibrahim
author_sort Yusra Tashkandy
collection DOAJ
description This paper introduces and studies a unique probability distribution. The maximum likelihood estimation, the ordinary least squares, the weighted least squares, and the Anderson–Darling estimation methods all take into account a number of financial risk indicators, including the value-at-risk, tail-value-at-risk, tail variance, tail mean-variance, and mean excess loss function. These four approaches were used in a simulation study and an application to insurance claims data for the actuarial evaluation. The well-known Nikulin–Rao–Robson statistic is taken into consideration for distributional validation under the whole set of data. Three complete actual datasets and a simulation study are used to evaluate the Nikulin–Rao–Robson test statistic. An updated version of the Nikulin–Rao–Robson statistic is taken into consideration for censored distributional validation. Three censored actual datasets and a thorough simulation analysis are used to evaluate the novel Nikulin–Rao–Robson test statistic.
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institution Kabale University
issn 2314-4785
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publishDate 2023-01-01
publisher Wiley
record_format Article
series Journal of Mathematics
spelling doaj-art-9cdce1073de649f481ba713103af7ddd2025-08-20T03:38:14ZengWileyJournal of Mathematics2314-47852023-01-01202310.1155/2023/8852528Distributional Censored and Uncensored Validation Testing under a Modified Test Statistic with Risk Analysis and AssessmentYusra Tashkandy0Walid Emam1Gauss M. Cordeiro2M. Masoom Ali3Khaoula Aidi4Haitham M. Yousof5Mohamed Ibrahim6Department of Statistics and Operations ResearchDepartment of Statistics and Operations ResearchUniversidade Federal de PernambucoDepartment of Mathematical SciencesLaboratory of Probability and Statistics LaPSDepartment of Statistics, Mathematics and InsuranceDepartment of AppliedThis paper introduces and studies a unique probability distribution. The maximum likelihood estimation, the ordinary least squares, the weighted least squares, and the Anderson–Darling estimation methods all take into account a number of financial risk indicators, including the value-at-risk, tail-value-at-risk, tail variance, tail mean-variance, and mean excess loss function. These four approaches were used in a simulation study and an application to insurance claims data for the actuarial evaluation. The well-known Nikulin–Rao–Robson statistic is taken into consideration for distributional validation under the whole set of data. Three complete actual datasets and a simulation study are used to evaluate the Nikulin–Rao–Robson test statistic. An updated version of the Nikulin–Rao–Robson statistic is taken into consideration for censored distributional validation. Three censored actual datasets and a thorough simulation analysis are used to evaluate the novel Nikulin–Rao–Robson test statistic.http://dx.doi.org/10.1155/2023/8852528
spellingShingle Yusra Tashkandy
Walid Emam
Gauss M. Cordeiro
M. Masoom Ali
Khaoula Aidi
Haitham M. Yousof
Mohamed Ibrahim
Distributional Censored and Uncensored Validation Testing under a Modified Test Statistic with Risk Analysis and Assessment
Journal of Mathematics
title Distributional Censored and Uncensored Validation Testing under a Modified Test Statistic with Risk Analysis and Assessment
title_full Distributional Censored and Uncensored Validation Testing under a Modified Test Statistic with Risk Analysis and Assessment
title_fullStr Distributional Censored and Uncensored Validation Testing under a Modified Test Statistic with Risk Analysis and Assessment
title_full_unstemmed Distributional Censored and Uncensored Validation Testing under a Modified Test Statistic with Risk Analysis and Assessment
title_short Distributional Censored and Uncensored Validation Testing under a Modified Test Statistic with Risk Analysis and Assessment
title_sort distributional censored and uncensored validation testing under a modified test statistic with risk analysis and assessment
url http://dx.doi.org/10.1155/2023/8852528
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