Half-Cauchy Chen Distribution with Theories and Applications

A. Chaudhary, Ram Suresh Yadav, Vijay Kumar
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Abstract

In this article, we have suggested the three-parameter half-Cauchy Chen distribution which has been derived by compounding a continuous Chen distribution with the half-Cauchy family of distribution. The hazard rate function (HRF), quantile function, reversed hazard rate function, survival function,  cumulative distribution function (CDF), probability density function (PDF), kurtosis, and skewness of the suggested distribution are some of its statistical properties and characteristics that are explored. Utilizing the methods of LSE, CVM, and MLE, the parameters of the new distribution are computed. All the calculations are performed with the aid of R programming software. To assess the application of the new distribution, two real data sets are analyzed and performed the goodness-of-fit. It is found that the half-Cauchy Chen distribution outperformed a few other existing distributions. We hope that this distribution will contribute to the field of real data analysis.
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半柯西陈分布及其理论与应用
本文提出了三参数半柯西陈分布,该分布是由一个连续陈分布与半柯西分布族复合而得到的。探讨了建议分布的风险率函数(HRF)、分位数函数、反向风险率函数、生存函数、累积分布函数(CDF)、概率密度函数(PDF)、峰度和偏度等统计特性和特征。利用LSE、CVM和MLE方法计算了新分布的参数。所有的计算都是借助R编程软件完成的。为了评估新分布的应用,对两个真实数据集进行了分析并进行了拟合优度。发现半柯西陈分布优于其他一些现有的分布。我们希望这个分布将有助于实际数据分析领域。
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