使用α幂变换的指数分布的广泛扩展——统计特性及其在工程科学中的应用

IF 0.3 Q4 MATHEMATICS, APPLIED Journal of Applied Mathematics Statistics and Informatics Pub Date : 2021-12-01 DOI:10.2478/jamsi-2021-0009
S. Q. Ain, K. U. I. Rather
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引用次数: 0

摘要

摘要本文利用幂函数技术,通过在母分布上增加一个参数,熟悉了指数分布的扩展。得到的新分布称为幂指数分布。所提出的分布的各种统计性质,如均值、方差、中心和非中心矩、可靠度函数和熵已被导出。应用了两个实际数据集来检验所提出模型的灵活性。与其他相关统计模型相比,所引入的新密度模型具有更好的拟合效果。
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An extensive extension of exponentiated exponential distribution using alpha power transformation – statistical properties and applications in engineering science
Abstract In this article, an extension of exponentiated exponential distribution is familiarized by adding an extra parameter to the parent distribution using alpha power technique. The new distribution obtained is referred to as Alpha Power Exponentiated Exponential Distribution. Various statistical properties of the proposed distribution like mean, variance, central and non-central moments, reliability functions and entropies have been derived. Two real life data sets have been applied to check the flexibility of the proposed model. The new density model introduced provides the better fit when compared with other related statistical models.
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审稿时长
20 weeks
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