Pritam Sarkar , Soumi Thakur Chakraborty , Ayan Pal
{"title":"When is an Exponentiated Pareto distribution infinitely divisible?","authors":"Pritam Sarkar , Soumi Thakur Chakraborty , Ayan Pal","doi":"10.1016/j.spl.2026.110655","DOIUrl":null,"url":null,"abstract":"<div><div>We investigate the conditions of infinite divisibility of the Exponentiated Pareto (EP) distribution supported on the entire positive half-line <span><math><mrow><mo>(</mo><mn>0</mn><mo>,</mo><mi>∞</mi><mo>)</mo></mrow></math></span>, along with its discrete analogue defined on the set of non-negative integers. The EP distribution is defined via the cumulative distribution function (CDF) <span><math><msup><mrow><mrow><mo>[</mo><mi>F</mi><mrow><mo>(</mo><mi>x</mi><mo>)</mo></mrow><mo>]</mo></mrow></mrow><mrow><mi>α</mi></mrow></msup></math></span> , where <span><math><mrow><mi>α</mi><mo>></mo><mn>0</mn></mrow></math></span> and <span><math><mrow><mi>F</mi><mrow><mo>(</mo><mi>x</mi><mo>)</mo></mrow><mo>=</mo><mn>1</mn><mo>−</mo><msup><mrow><mrow><mo>(</mo><mn>1</mn><mo>+</mo><mi>x</mi><mo>)</mo></mrow></mrow><mrow><mo>−</mo><mi>λ</mi></mrow></msup><mo>,</mo><mi>x</mi><mo>></mo><mn>0</mn></mrow></math></span>, is the CDF of Pareto Type II (Lomax) distribution with tail parameter <span><math><mrow><mi>λ</mi><mo>></mo><mn>0</mn><mo>.</mo></mrow></math></span> The discrete counterpart is defined as the integer part of a random variable <span><math><mi>X</mi></math></span> following the EP distribution. The main results assert that both the continuous and discrete versions of the EP distribution are infinitely divisible if <span><math><mrow><mi>α</mi><mo>∈</mo><mrow><mo>(</mo><mn>0</mn><mo>,</mo><mn>1</mn><mo>]</mo></mrow><mo>.</mo></mrow></math></span> A brief discussion of the Lévy process corresponding to the infinitely divisible case for <span><math><mrow><mi>α</mi><mo>∈</mo><mrow><mo>(</mo><mn>0</mn><mo>,</mo><mn>1</mn><mo>]</mo></mrow></mrow></math></span> is provided along with a real world data illustration.</div></div>","PeriodicalId":49475,"journal":{"name":"Statistics & Probability Letters","volume":"232 ","pages":"Article 110655"},"PeriodicalIF":0.7000,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Statistics & Probability Letters","FirstCategoryId":"100","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0167715226000192","RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/1/15 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"STATISTICS & PROBABILITY","Score":null,"Total":0}
引用次数: 0
Abstract
We investigate the conditions of infinite divisibility of the Exponentiated Pareto (EP) distribution supported on the entire positive half-line , along with its discrete analogue defined on the set of non-negative integers. The EP distribution is defined via the cumulative distribution function (CDF) , where and , is the CDF of Pareto Type II (Lomax) distribution with tail parameter The discrete counterpart is defined as the integer part of a random variable following the EP distribution. The main results assert that both the continuous and discrete versions of the EP distribution are infinitely divisible if A brief discussion of the Lévy process corresponding to the infinitely divisible case for is provided along with a real world data illustration.
研究了整条正半线上(0,∞)支持的幂Pareto (EP)分布的无限可除性条件,以及它在非负整数集上定义的离散模拟。EP分布通过累积分布函数(CDF) [F(x)]α来定义,其中α>;0, F(x)=1−(1+x)−λ,x>;0为尾部参数为λ>;0的Pareto Type II (Lomax)分布的CDF。离散对应项定义为随机变量X遵循EP分布的整数部分。主要结果表明,如果α∈(0,1),EP分布的连续和离散版本都是无限可分的。简要讨论了与α∈(0,1)无限可除情况相对应的lsamvy过程,并给出了一个真实世界的数据说明。
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