论文标题
一般的指定复合分布家族
A Generalized Family of Exponentiated Composite Distributions
论文作者
论文摘要
在本文中，我们通过指出与复合分布的概率密度函数相关的随机变量提出了一类新的分布。我们还得出了这类新的分布的一些数学特性，包括时刻和有限的时刻。具体来说，讨论了这个家庭中的两个特殊模型。选择了两个真实的数据集来评估这两个特殊的指控复合模型的性能。与这两个数据集拟合时，与原始复合分布相比，这两个特殊的启用复合分布表现出明显更好的性能。
In this paper, we propose a new class of distributions by exponentiating the random variables associated with the probability density functions of composite distributions. We also derive some mathematical properties of this new class of distributions including the moments and the limited moments. Specifically, two special models in this family are discussed. Two real data sets were chosen to assess the performance of these two special exponentiated composite models. When fitting to these two data sets, theses two special exponentiated composite distributions demonstrate significantly better performance compared to the original composite distributions.
