Half-Cauchy Generalized Exponential Distribution: Theory and Application

A. Chaudhary, L. Sapkota, Vijay Kumar
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引用次数: 2

Abstract

Half-Cauchy generalized exponential (HCGE) distribution is a novel distribution that we have proposed on in this paper. The quantiles, the measures of skewness based on quartiles, and the measures of kurtosis based on octiles, survival function, the probability density function, hazard function, cumulative distribution function, cumulative hazard function, are just a few of the crucial statistical properties we have derived for the proposed distribution. To estimate the parameters of the half-Cauchy generalized exponential distribution, the maximum likelihood estimation method has been applied. For the evaluation of the new distribution’s potential, we have considered a real dataset and compared the goodness-of-fit attained by proposed distribution with some competing distribution. The suggested model fits the data much better and is more adaptable than some other models.
半柯西广义指数分布:理论与应用
半柯西广义指数分布(HCGE)是本文提出的一种新的分布。分位数,基于四分位数的偏度度量,以及基于八分位数的峰度度量,生存函数,概率密度函数,风险函数,累积分布函数,累积风险函数,这些只是我们为提议的分布推导出的一些重要统计特性。为了估计半柯西广义指数分布的参数,应用了极大似然估计方法。为了评估新分布的潜力,我们考虑了一个真实的数据集,并将所提出的分布获得的拟合优度与一些竞争分布进行了比较。与其他模型相比,该模型具有更好的拟合性和适应性。
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