长度偏置功率危险率分布:一些特性和应用

Q4 Mathematics

Statistics in Transition Pub Date : 2022-06-01 DOI:10.2478/stattrans-2022-0013

A. Mustafa, M. I. Khan

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引用次数: 2

摘要

摘要在本文中，引入并研究了长度偏差功率危害率分布的几个统计特性。该分布报告了几种概率分布的扩展，即：指数、瑞利、威布尔和线性危险率。参数采用最大似然估计的方法。最后，通过三个真实数据集对模型的适用性进行了探讨。为了检验该技术的性能，提取了一个模拟研究。

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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The length-biased power hazard rate distribution: Some properties and applications

Abstract In this article, the length-biased power hazard rate distribution has introduced and investigated several statistical properties. This distribution reports an extension of several probability distributions, namely: exponential, Rayleigh, Weibull, and linear hazard rate. The procedure of maximum likelihood estimation is taken for parameters. Finally, the applicability of the model is explored by three real data sets. To examine, the performance of the technique, a simulation study is extracted.

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来源期刊

Statistics in Transition Decision Sciences-Statistics, Probability and Uncertainty

CiteScore

1.00

自引率

0.00%

发文量

审稿时长

9 weeks

期刊介绍： Statistics in Transition (SiT) is an international journal published jointly by the Polish Statistical Association (PTS) and the Central Statistical Office of Poland (CSO/GUS), which sponsors this publication. Launched in 1993, it was issued twice a year until 2006; since then it appears - under a slightly changed title, Statistics in Transition new series - three times a year; and after 2013 as a regular quarterly journal." The journal provides a forum for exchange of ideas and experience amongst members of international community of statisticians, data producers and users, including researchers, teachers, policy makers and the general public. Its initially dominating focus on statistical issues pertinent to transition from centrally planned to a market-oriented economy has gradually been extended to embracing statistical problems related to development and modernization of the system of public (official) statistics, in general.