带有回归模型的麦克斯韦-玻尔兹曼-指数分布

Pub Date : 2024-08-14 DOI:10.1515/ms-2024-0074
Emrah Altun, Gökçen Altun
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引用次数: 0

摘要

本文提出了一种新的概率模型,称为麦克斯韦-玻尔兹曼-指数分布(MBE)。MBE 分布是麦克斯韦-玻尔兹曼分布和指数分布的混合分布。对分布的统计特性进行了研究,并获得了闭式表达式。评估并比较了估计 MBE 分布参数的三种方法。定义了 MBE 回归模型,对于极右偏和双峰的响应变量,所提出的回归模型可替代伽马回归模型。使用两个真实数据集来证明建议模型与现有模型的适用性。
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The Maxwell-Boltzmann-Exponential distribution with regression model
This paper proposes a new probability model called as Maxwell-Boltzmann-Exponential (MBE) distribution. The MBE distribution arises as a mixture distribution of the Maxwell-Boltzmann and exponential distributions. The statistical properties of the distributions are studied and obtained in closed-form expressions. Three methodologies are assessed and compared for the estimation of parameters in the MBE distribution. The MBE regression model is defined, with the proposed regression model being an alternative to the gamma regression model for response variables that are extremely right-skewed and bimodal. Two real data sets are used to demonstrate the applicability of the proposed models against the existing models.
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