应用于医院到院人数随机建模的泊松阻塞和勒维型过程

IF 0.8 4区数学 Q3 STATISTICS & PROBABILITY

Communications in Statistics-Simulation and Computation Pub Date : 2024-09-11 DOI:10.1080/03610918.2024.2391883

Harpreet Singh, Seng Huat Ong, Choung Min Ng, Kurunathan Ratnavelu

引用次数: 0

摘要

到达医院的病人通常成群出现，而且到达次数数据表现出过度分散性。为了模拟这些特征，基于泊松截断和的 Lévy-type 过程是一种有效的方法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Poisson-stopped sum Lévy-type processes with application to stochastic modeling of hospital arrivals

Patient arrivals at a hospital typically occur in clusters and the arrivals count data exhibits over-dispersion. To model these characteristics, the Lévy-type processes based on Poisson-stopped sum...

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来源期刊

Communications in Statistics-Simulation and Computation 数学-统计学与概率论

CiteScore

2.50

自引率

11.10%

发文量

240

审稿时长

6 months

期刊介绍： The Simulation and Computation series intends to publish papers that make theoretical and methodological advances relating to computational aspects of Probability and Statistics. Simulational assessment and comparison of the performance of statistical and probabilistic methods will also be considered for publication. Papers stressing graphical methods, resampling and other computationally intensive methods will be particularly relevant. In addition, special issues dedicated to a specific topic of current interest will also be published in this series periodically, providing an exhaustive and up-to-date review of that topic to the readership.