用于重尾理赔严重程度数据建模的具有不同阈值的新型 M-Lognormal-Burr 回归模型

IF 16.4 1区化学 Q1 CHEMISTRY, MULTIDISCIPLINARY

Accounts of Chemical Research Pub Date : 2024-02-26 DOI:10.1080/02664763.2024.2319232

Girish Aradhye, Deepesh Bhati, George Tzougas

引用次数: 0

摘要

在本研究中，我们探讨了复合概率分布在有效模拟索赔严重程度数据方面的潜力，这些数据涵盖了从轻微损失到重大损失的各种损失...

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

A novel M-Lognormal–Burr regression model with varying threshold for modeling heavy-tailed claim severity data

In this study, we explore the potential of composite probability distributions in effectively modeling claim severity data, which encompasses a spectrum of losses, ranging from minor to substantial...

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

Accounts of Chemical Research 化学-化学综合

CiteScore

31.40

自引率

1.10%

发文量

312

审稿时长

2 months

期刊介绍： Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.