关于 Weibull-Pareto 分布类别的说明

IF 0.8 Q2 MATHEMATICS

Lobachevskii Journal of Mathematics Pub Date : 2024-05-14 DOI:10.1134/s1995080224600213

Adil Rashid, Zahoor Ahmad, Aafaq A. Rather, Irfan Ali

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引用次数: 0

摘要

摘要本文对用于表示不同参数模型的魏布尔-帕雷托分布（NWPD）类作了清晰的说明。我们简要讨论并评论了这些模型的唯一性，并提出了替代定义。特别是，我们得出结论，Nasiru 和 Luguterah（2015 年）引入的 NWPD 需要更加平衡，尽管它并不存在。更确切地说，Nasiru 和 Luguterah 提出的 NWPD 可与双参数 Weibull 分布相识别。

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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A Note on Class of Weibull–Pareto Distribution

Abstract

This paper provides a lucid note on the class of Weibull–Pareto distribution (NWPD) used to denote different parametric models. We briefly discussed and commented on these models’ uniqueness and proposed alternative definitions. In particular, we concluded that the NWPD introduced by Nasiru and Luguterah (2015) needs to be more balanced, even though it does not exist. More precisely, the NWPD by Nasiru and Luguterah is identifiable with a two-parameter Weibull distribution.

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来源期刊

Lobachevskii Journal of Mathematics MATHEMATICS-

CiteScore

1.50

自引率

42.90%

发文量

127

期刊介绍： Lobachevskii Journal of Mathematics is an international peer reviewed journal published in collaboration with the Russian Academy of Sciences and Kazan Federal University. The journal covers mathematical topics associated with the name of famous Russian mathematician Nikolai Lobachevsky (Lobachevskii). The journal publishes research articles on geometry and topology, algebra, complex analysis, functional analysis, differential equations and mathematical physics, probability theory and stochastic processes, computational mathematics, mathematical modeling, numerical methods and program complexes, computer science, optimal control, and theory of algorithms as well as applied mathematics. The journal welcomes manuscripts from all countries in the English language.