From Pareto to Weibull – A Constructive Review of Distributions on ℝ+

IF 1.7 3区 数学 Q1 STATISTICS & PROBABILITY International Statistical Review Pub Date : 2022-06-06 DOI:10.1111/insr.12508
Corinne Sinner, Yves Dominicy, Julien Trufin, Wout Waterschoot, Patrick Weber, Christophe Ley
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引用次数: 2

Abstract

Power laws and power laws with exponential cut-off are two distinct families of distributions on the positive real half-line. In the present paper, we propose a unified treatment of both families by building a family of distributions that interpolates between them, which we call Interpolating Family (IF) of distributions. Our original construction, which relies on techniques from statistical physics, provides a connection for hitherto unrelated distributions like the Pareto and Weibull distributions, and sheds new light on them. The IF also contains several distributions that are neither of power law nor of power law with exponential cut-off type. We calculate quantile-based properties, moments and modes for the IF. This allows us to review known properties of famous distributions on + and to provide in a single sweep these characteristics for various less known (and new) special cases of our Interpolating Family.

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从Pareto到Weibull——关于ℝ+
幂律和具有指数截止的幂律是正实半线上的两个不同的分布族。在本文中,我们提出了一种统一的处理这两个族的方法,通过建立一个在它们之间插值的分布族,我们称之为插值分布族(IF)。我们最初的构建依赖于统计物理学的技术,为迄今为止不相关的分布(如帕累托分布和威布尔分布)提供了联系,并为它们提供了新的线索。IF还包含几个既不是幂律也不是幂律的指数截断型分布。我们计算IF的基于分位数的性质、矩和模式。这使我们能够回顾上著名分布的已知性质ℝ+ 并在一次扫描中为我们的插值族的各种鲜为人知(和新的)特殊情况提供这些特征。
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来源期刊
International Statistical Review
International Statistical Review 数学-统计学与概率论
CiteScore
4.30
自引率
5.00%
发文量
52
审稿时长
>12 weeks
期刊介绍: International Statistical Review is the flagship journal of the International Statistical Institute (ISI) and of its family of Associations. It publishes papers of broad and general interest in statistics and probability. The term Review is to be interpreted broadly. The types of papers that are suitable for publication include (but are not limited to) the following: reviews/surveys of significant developments in theory, methodology, statistical computing and graphics, statistical education, and application areas; tutorials on important topics; expository papers on emerging areas of research or application; papers describing new developments and/or challenges in relevant areas; papers addressing foundational issues; papers on the history of statistics and probability; white papers on topics of importance to the profession or society; and historical assessment of seminal papers in the field and their impact.
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