A New Version of the Exponentiated Exponential Distribution: Copula, Properties and Application to Relief and Survival Times

Hanaa Elgohari
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引用次数: 2

Abstract

In this paper, we introduce a new generalization of the Exponentiated Exponential distribution. Various structural mathematical properties are derived. Numerical analysis for mean, variance, skewness and kurtosis and the dispersion index is performed. The new density can be right skewed and symmetric with “unimodal” and “bimodal” shapes. The new hazard function can be “constant”, “decreasing”, “increasing”, “increasing-constant”, “upsidedown-constant”, “decreasingconstant”. Many bivariate and multivariate type model have been also derived. We assess the performance of the maximum likelihood method graphically via the biases and mean squared errors. The usefulness and flexibility of the new distribution is illustrated by means of two real data sets.
指数分布的一个新版本:Copula,性质及其在救援和生存时代的应用
在本文中,我们引入了指数指数分布的一个新的推广。导出了各种结构数学性质。对均值、方差、偏度、峰度和色散指数进行了数值分析。新的密度可以是右偏的和对称的,具有“单峰”和“双峰”形状。新的危险函数可以是“常数”、“递减”、“递增”、“增大常数”、”上下常数“、”递减常数“。还导出了许多双变量和多变量类型的模型。我们通过偏差和均方误差以图形方式评估最大似然方法的性能。通过两个实际数据集说明了新分布的有用性和灵活性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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