A New Nadarajah-Haghighi Generalization with Five Different Shapes for the Hazard Function

Fernando Arturo Peña Ramírez, R. Guerra, G. Cordeiro
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引用次数: 0

Abstract

We introduce a four-parameter model called the Weibull Nadarajah-Haghighi distribution. It is obtained by inserting the Nadarajah-Haghighi distribution in the Weibull-G family. The proposed distribution can produce constant, increasing, decreasing, bathtub, and upside down-bathtub hazard rate shapes, which are the most important in lifetime analysis. We explore some structural properties, including the quantile function, ordinary and incomplete moments, mean deviations, Bonferroni and Lorenz curves, and Rényi entropy. The maximum likelihood method is used to estimate the model parameters. A simulation study is formed to examine the precision of the estimates. The usefulness of the new distribution is illustrated through two applications to real data. The new model provides better fits than some widely known lifetime distributions.
具有五种不同形状危险函数的新纳达拉加-哈格希广义法
我们引入了一种名为 Weibull Nadarajah-Haghighi 分布的四参数模型。它是通过在 Weibull-G 系列中插入 Nadarajah-Haghighi 分布而得到的。所提出的分布可以产生恒定、递增、递减、浴缸和倒浴缸危险率形状,这些形状在寿命分析中最为重要。我们探讨了一些结构特性,包括量子函数、普通矩和不完全矩、平均偏差、Bonferroni 和 Lorenz 曲线以及雷尼熵。使用最大似然法估计模型参数。通过模拟研究来检验估计值的精确度。通过对真实数据的两个应用,说明了新分布的实用性。与一些广为人知的寿命分布相比,新模型的拟合效果更好。
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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