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Gaussian Hypergeometric Probability Distributions for Fitting Discrete Data

机译:高斯超几何概率分布拟合离散数据

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摘要

The distributions generated by the Gaussian hypergeometric function compose a tetraparametric family that includes many of the most common discrete distributions in the literature. In this article, probability aspects related to the whole family are reviewed and methods of estimation for fitting them to real data are developed. Several applied examples are also provided to illustrate the procedures and compare the methods of estimation.
机译:由高斯超几何函数生成的分布组成一个四参数族,该族包括许多文献中最常见的离散分布。在本文中,对与整个家庭有关的概率方面进行了综述,并提出了将其拟合为真实数据的估算方法。还提供了几个应用示例来说明过程并比较估计方法。

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