新的魏布尔指数分布及其特性和应用

I. C. Anabike, Jachike C. Okoli, Prince O. Chukwuma, Chinyere P. Igbokwe, Divine-Favour N. Ekemezie, Precious O. Ibeakuzie
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摘要

在本文中,我们通过使用新的 Weibull-X 系列分布对指数分布进行扩展,引入了一种新的分布,称为新 Weibull 指数分布 (NWED)。新分布通过引入额外的形状参数对指数分布进行了扩展,使扩展后的分布更具可扩展性,拟合度更好。对模型的特性进行了研究,即矩及其某些度量、量子函数和阶次统计。使用最大似然法对参数进行了估计。该模型被应用于两个实际数据集,结果发现新模型的表现优于经典的 Weibull 和 gamma 分布。飞机挡风玻璃故障时间数据的 p 值为 NWED > Weibull > Gamma。同样的情况也适用于 50 种产品在设计阶段的可靠性故障时间数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A New Weibull-Exponential Distribution with Properties and Applications
In this article, we introduced a new distribution referred to as a New Weibull Exponential Distribution (NWED) by extending the exponential distribution using the new Weibull-X family of distributions. The new distribution extended the exponential distribution by introducing additional shape parameter, making the extended distribution more exible and with better goodness of fit. The properties of the model was studied namely the moment with some of its measures, the quantile function and the order statistics. The estimation of the parameters was done using the maximum likelihood method. The model was applied to two real-life datasets and it was found that the new model performed better than the classical Weibull and gamma distributions. For the airplane windshield failure times data, the p-values are such that of NWED > Weibull > Gamma. The same is applicable to the data on the failure times of 50 product reliability during the design stage.
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