联合监测零膨胀泊松过程两个参数的单图方案

IF 0.8 4区数学 Q3 STATISTICS & PROBABILITY

Communications in Statistics-Simulation and Computation Pub Date : 2024-08-24 DOI:10.1080/03610918.2024.2391870

Surajit Pal, Susanta Kumar Gauri

引用次数: 0

摘要

高质量过程的零点数通常多于偶然变化下的预期，通常用零膨胀泊松（ZIP）分布建模。零膨胀泊松分布模型有两个参数。

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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A one-chart scheme for joint monitoring of the two parameters of zero-inflated Poisson processes

The high-quality processes usually have more count of zeros than are expected under chance variation and are commonly modeled by zero-inflated Poisson (ZIP) distribution. A ZIP model has two parame...

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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.