A New Lifetime Parametric Model for the Survival and Relief Times with Copulas and Properties

IF 1.1 Q3 STATISTICS & PROBABILITY
Wahid A. M. Shehata, Nadeem Shafique Butt, H. Yousof, Mohamed Aboraya
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引用次数: 15

Abstract

In this article, 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 are performed. The new density can be right skewed and symmetric with "unimodal" and "bimodal" shapes. The new hazard function can be "constant", "monotonically decreasing", " monotonically increasing", "increasing-constant”, “upside-down-constant", "decreasing-constant". 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 applicability of the new life distribution is illustrated by means of two real data sets.
一个新的具有copula和性质的生存和救援时间的寿命参数模型
在本文中,我们引入了指数分布的一种新的推广。推导出各种结构数学性质。对平均值、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斜和对称的“单峰”和“双峰”形状。新的危害函数可以是“常数”、“单调递减”、“单调递增”、“递增常数”、“倒立常数”、“递减常数”。许多双变量和多变量模型也被导出。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寿命分布的适用性。
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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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.
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