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传染性统计分布:k-连接及其在传染病环境中的应用。

Contagious statistical distributions: k-connections and applications in infectious disease environments.

机构信息

Department of Statistics and O.R., Faculty of Economics, University of Cádiz, Cádiz, Spain.

Department of Quantitative Methods and TiDES Institute, Faculty of Economics, University of Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Canary Islands, Spain.

出版信息

PLoS One. 2022 May 27;17(5):e0268810. doi: 10.1371/journal.pone.0268810. eCollection 2022.

Abstract

Contagious statistical distributions are a valuable resource for managing contagion by means of k-connected chains of distributions. Binomial, hypergeometric, Pólya, uniform distributions with the same values for all parameters except sample size n are known to be strongly associated. This paper describes how the relationship can be obtained via factorial moments, simplifying the process by including novel elements. We describe the properties of these distributions and provide examples of their real-world application, and then define a chain of k-connected distributions, which generalises the relationship among samples of any size for a given population and the Pólya urn model.

摘要

传染性统计分布是通过 k 连通分布链来管理传染病的有价值资源。除样本大小 n 外,所有参数值相同的二项式、超几何、波利亚、均匀分布已知具有很强的相关性。本文通过阶乘矩描述了如何通过阶乘矩获得这种关系,通过包含新元素简化了这个过程。我们描述了这些分布的性质,并提供了它们在现实世界中的应用实例,然后定义了 k 连通分布链,它推广了给定总体中任何大小样本与波利亚 urn 模型之间的关系。

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