单参数熵变指数分布及其应用研究

IF 0.9 Q3 STATISTICS & PROBABILITY
Mathew Stephen, David Ikwuoche John, Yaska Mutah
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引用次数: 0

摘要

本研究提出了熵变换指数分布(EnTrED),试图增强传统指数分布的灵活性和适用性。研究探讨了 EnTrED 的统计特性,包括模式、量化函数、可靠性、矩和危险函数。该分布的参数采用最大似然估计法进行估计,并通过大量蒙特卡罗模拟对这些估计值的稳定性进行了全面评估。模拟结果表明,模型参数的最大似然估计值表现良好。此外,针对其他分布的经验评估强调了 EnTrED 的稳健性,它是分析生命数据的卓越模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Study on One-Parameter Entropy-Transformed Exponential Distribution and Its Application
This study presents the Entropy-Transformed Exponential Distribution (EnTrED), in an attempt to enhancing the flexibility and applicability of the traditional exponential distribution. The study explores the statistical properties of the EnTrED, including mode, quantile function, reliability, moments, and hazard function. The parameters of the distribution were estimated using maximum likelihood estimation, and the stability of these estimates was thoroughly evaluated through extensive Monte Carlo simulation. The simulation results demonstrated that the maximum likelihood estimates of the model parameters were well-behaved. Additionally, Empirical assessments against alternative distributions underscores the robustness of the EnTrED as a superior model for analyzing life data.
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来源期刊
CiteScore
1.60
自引率
12.50%
发文量
24
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