A new class of probability distributions with an application in engineering science

IF 1.1 Q3 STATISTICS & PROBABILITY Pakistan Journal of Statistics and Operation Research Pub Date : 2024-06-05 DOI:10.18187/pjsor.v20i2.3845
Anwar Hassan, I. H. Dar, M. A. Lone
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Abstract

In this manuscript, we introduced a new class of probability distributions called new exponentiated transformation(NET) that adds more flexibility to any baseline distribution without adding the complexity of an extra parameter. NET is then specialised on exponentiated exponential distribution and a new exponentiated exponential( NEE) distribution is obtained. The NEE distribution has wider flexibility in terms of density function and also has increasing, decreasing and bathtub hazard rate function. Several mathematical properties of NEE distribution are also highlighted. For applicability of proposed distribution, two engineering data sets are considered and it is sensed that NEE leads to a better fit than all models taken under consideration
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一类新的概率分布在工程科学中的应用
在本手稿中,我们引入了一类新的概率分布,称为新指数变换(NET),它在不增加额外参数复杂性的情况下,为任何基线分布增加了更多灵活性。然后,我们在指数化指数分布上对 NET 进行了特殊化,得到了新指数化指数分布(NEE)。NEE 分布在密度函数方面具有更广泛的灵活性,而且还具有递增、递减和浴缸危险率函数。此外,还强调了 NEE 分布的几个数学特性。为了适用所提出的分布,我们考虑了两个工程数据集,结果发现 NEE 比所考虑的所有模型拟合得更好。
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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.
期刊最新文献
Characterizations of the Recently Introduced Discrete Distributions A New Family of Heavy-Tailed Generalized Topp-Leone-G Distributions with Application A new class of probability distributions with an application in engineering science Approximations to the Moments of Order Statistics for Normal Distribution Approximation Methods for the Bivariate Compound Truncated Poisson Gamma Distribution
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