Exponential Conway Maxwell Poisson distribution

A. Adzkiah, D. Lestari, L. Safitri
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引用次数: 0

Abstract

The study of the lifetime of an organism, devices, etc., is very important in the field of health, biology, and industry. We need a distribution that can model the data with certain characteristics. The lifetime distribution with a decreasing hazard rate has been discussed in the new literature. In this research, a new distribution with a decreasing hazard rate is presented with three parameters that match real data that has no zero observation, namely the Exponential Conway Maxwell Poisson distribution (ECOMP). The ECOMP distribution can be used to model the minimum lifetime of an exponential random variable. In this research, we explain how to construct ECOMP distribution and discuss its properties. The parameter estimation is performed using the maximum likelihood method. The application of earthquake data shows that the ECOMP distribution is more suitable in modeling data than the Exponential Poisson (EP) distribution.
指数Conway Maxwell泊松分布
对生物体、设备等的寿命的研究在健康、生物和工业领域是非常重要的。我们需要一个能够对具有某些特征的数据进行建模的分布。在新的文献中讨论了随危险率下降的寿命分布。在本研究中,提出了一种新的风险率递减的分布,其中三个参数与没有零观测值的真实数据相匹配,即指数型康威-麦克斯韦-泊松分布(ECOMP)。ECOMP分布可以用来模拟指数随机变量的最小寿命。在本研究中,我们解释了如何构造ECOMP分布并讨论了它的性质。参数估计采用最大似然法进行。地震资料的应用表明,ECOMP分布比指数泊松(EP)分布更适合于建模数据。
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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