Kachour Maher, Chesneau Christophe
ESSCA School of Management, Lyon, France.
Laboratoire de Mathématiques Nicolas Oresme (LMNO), Université de Caen Nomandie, Caen, France.
J Appl Stat. 2023 Sep 27;51(11):2062-2089. doi: 10.1080/02664763.2023.2260570. eCollection 2024.
In this paper, we introduce a new distribution defined on , called the distribution, which can be viewed as a natural extension of the zero-and-one-inflated Poisson ( ) distribution. It is designed to fit the count data with potentially excess zeros and/or ones, and/or minus ones. We explore its various properties and investigate the estimation of the unknown parameters. Moreover, simulation experiments are carried out to attest to the performance of the estimation. Through the use of a useful data set on football scores, the applicability of the proposed distribution is examined.
在本文中,我们引入了一种定义在 上的新分布,称为 分布,它可被视为零膨胀和一膨胀泊松( )分布的自然扩展。它旨在拟合可能存在过多零值和/或一值和/或负一值的计数数据。我们探索了它的各种性质,并研究了未知参数的估计。此外,还进行了模拟实验以证明估计的性能。通过使用一个关于足球比赛比分的有用数据集,检验了所提出分布的适用性。