The Generalized Odd Log-Logistic Fréchet Distribution for Modeling Extreme Values

IF 1.1 Q3 STATISTICS & PROBABILITY Pakistan Journal of Statistics and Operation Research Pub Date : 2022-09-10 DOI:10.18187/pjsor.v18i3.2902
Rania Hassan Abd El Khaleq
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Abstract

We introduce a new extension of the Fréchet distribution for modeling the extreme values. The new model generalizes eleven distributions at least, five of them are quite new. Some important mathematical properties of the new model are derived. We assess the performance of the maximum likelihood estimators (MLEs) via a simulation study. The new model is better than some other important competitive models in modeling the breaking stress data, the glass fibers data and the relief time data.
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极值建模的广义奇对数Logistic-Fréchet分布
我们引入了Fréchet分布的一个新扩展,用于对极值进行建模。新模型至少概括了11个分布,其中5个是相当新的。导出了新模型的一些重要数学性质。我们通过模拟研究评估了最大似然估计量(MLE)的性能。新模型在断裂应力数据、玻璃纤维数据和释放时间数据的建模方面优于其他一些重要的竞争模型。
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来源期刊
CiteScore
3.30
自引率
26.70%
发文量
53
期刊介绍: Pakistan Journal of Statistics and Operation Research. PJSOR is a peer-reviewed journal, published four times a year. PJSOR publishes refereed research articles and studies that describe the latest research and developments in the area of statistics, operation research and actuarial statistics.
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