Properties and applications of the Tan Weibull loss distribution

Probability models play crucial role in modeling loss in the finance and actuarial sciences. In this article, a new family of loss distributions known as the Tan F-Loss family of distributions is proposed with the Tan Weibull Loss distribution as a special case. The density exhibits decreasing, righ...

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Format: Article
Language:English
Published: Elsevier 2025-01-01
Series:Kuwait Journal of Science
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Online Access:https://www.sciencedirect.com/science/article/pii/S2307410824001299
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collection DOAJ
description Probability models play crucial role in modeling loss in the finance and actuarial sciences. In this article, a new family of loss distributions known as the Tan F-Loss family of distributions is proposed with the Tan Weibull Loss distribution as a special case. The density exhibits decreasing, right skewed, symmetric, and approximately symmetric shapes. The hazard rate function shows decreasing and modified bathtub shapes. The statistical properties of the Tan Weibull Loss distribution including the quantile function, moments, expansion of the general rate, moment generating function, incomplete moment, and order statistics are studied. The maximum likelihood estimators of the distribution are also studied. Simulations are carried out to examine the behavior of the estimators. The results show that the estimators are consistent. The usefulness of the proposed distribution is demonstrated with two insurance loss datasets. The results show that the proposed distribution gives a better parametric to the two datasets compared with the competing distributions. © 2024 The Author(s)
format Article
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issn 2307-4108
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publishDate 2025-01-01
publisher Elsevier
record_format Article
series Kuwait Journal of Science
spelling doaj-art-03eac6ae7b7b4148a7cc70e45d3c47432025-08-20T03:23:06ZengElsevierKuwait Journal of Science2307-41082307-41162025-01-0152110030410.1016/j.kjs.2024.100304Properties and applications of the Tan Weibull loss distributionProbability models play crucial role in modeling loss in the finance and actuarial sciences. In this article, a new family of loss distributions known as the Tan F-Loss family of distributions is proposed with the Tan Weibull Loss distribution as a special case. The density exhibits decreasing, right skewed, symmetric, and approximately symmetric shapes. The hazard rate function shows decreasing and modified bathtub shapes. The statistical properties of the Tan Weibull Loss distribution including the quantile function, moments, expansion of the general rate, moment generating function, incomplete moment, and order statistics are studied. The maximum likelihood estimators of the distribution are also studied. Simulations are carried out to examine the behavior of the estimators. The results show that the estimators are consistent. The usefulness of the proposed distribution is demonstrated with two insurance loss datasets. The results show that the proposed distribution gives a better parametric to the two datasets compared with the competing distributions. © 2024 The Author(s)https://www.sciencedirect.com/science/article/pii/S2307410824001299heavy-tailed distributionmaximum likelihood estimationsimulationstan-gweibull distribution
spellingShingle Properties and applications of the Tan Weibull loss distribution
Kuwait Journal of Science
heavy-tailed distribution
maximum likelihood estimation
simulations
tan-g
weibull distribution
title Properties and applications of the Tan Weibull loss distribution
title_full Properties and applications of the Tan Weibull loss distribution
title_fullStr Properties and applications of the Tan Weibull loss distribution
title_full_unstemmed Properties and applications of the Tan Weibull loss distribution
title_short Properties and applications of the Tan Weibull loss distribution
title_sort properties and applications of the tan weibull loss distribution
topic heavy-tailed distribution
maximum likelihood estimation
simulations
tan-g
weibull distribution
url https://www.sciencedirect.com/science/article/pii/S2307410824001299