Stochastic Comparisons of the Smallest Claim Amounts from Two Sets of Independent Portfolios

IF 0.6 Q4 STATISTICS & PROBABILITY
H. Nadeb, H. Torabi
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引用次数: 0

Abstract

The aim of this paper is detecting the ordering properties of the smallest claim amounts arising from two sets of independent heterogeneous portfolios in insurance. First, we prove a general theorem that it presents some sufficient conditions in the sense of the hazard rate ordering to compare the smallest claim amounts from two batches of independent heterogeneous portfolios. Then, we show that the exponentiated scale model as a famous model and the Harris family satisfy the sufficient conditions of the proven general theorem. Also, to illustrate our results, some used models in actuary are numerically applied.
两组独立投资组合中最小索赔金额的随机比较
本文的目的是检测保险中两组独立的异构投资组合所产生的最小索赔金额的排序性质。首先,我们证明了一个一般定理,它在风险率排序的意义上给出了比较两批独立的异质投资组合的最小索赔金额的一些充分条件。然后,我们证明了作为著名模型的指数比例模型和Harris族满足证明一般定理的充分条件。此外,为了说明我们的结果,对精算师常用的一些模型进行了数值应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Austrian Journal of Statistics
Austrian Journal of Statistics STATISTICS & PROBABILITY-
CiteScore
1.10
自引率
0.00%
发文量
30
审稿时长
24 weeks
期刊介绍: The Austrian Journal of Statistics is an open-access journal (without any fees) with a long history and is published approximately quarterly by the Austrian Statistical Society. Its general objective is to promote and extend the use of statistical methods in all kind of theoretical and applied disciplines. The Austrian Journal of Statistics is indexed in many data bases, such as Scopus (by Elsevier), Web of Science - ESCI by Clarivate Analytics (formely Thompson & Reuters), DOAJ, Scimago, and many more. The current estimated impact factor (via Publish or Perish) is 0.775, see HERE, or even more indices HERE. Austrian Journal of Statistics ISNN number is 1026597X Original papers and review articles in English will be published in the Austrian Journal of Statistics if judged consistently with these general aims. All papers will be refereed. Special topics sections will appear from time to time. Each section will have as a theme a specialized area of statistical application, theory, or methodology. Technical notes or problems for considerations under Shorter Communications are also invited. A special section is reserved for book reviews.
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