基于似然法的自适应 CUSUM，用于监测样本量随时间变化的泊松率线性漂移

IF 1.1 4区数学 Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Journal of Statistical Computation and Simulation Pub Date : 2024-04-09 DOI:10.1080/00949655.2024.2327376

Zhengcheng Mou, Jyun-You Chiang, Sihong Chen, Guojun Liu

引用次数: 0

摘要

为了解决在检测胰腺癌发病率时样本量随时间变化的难题，我们开发了几种加权累积和（CUSUM）和自适应累积和（ACUSUM）控制图。

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 likelihood-based adaptive CUSUM for monitoring linear drift of Poisson rate with time-varying sample sizes

Several weighted cumulative sum (CUSUM) and adaptive CUSUM (ACUSUM) control charts have been developed to address the challenge of time-varying sample sizes in detecting the incidence rates of Pois...

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来源期刊

Journal of Statistical Computation and Simulation 数学-计算机：跨学科应用

CiteScore

2.30

自引率

8.30%

发文量

156

审稿时长

4-8 weeks

期刊介绍： Journal of Statistical Computation and Simulation ( JSCS ) publishes significant and original work in areas of statistics which are related to or dependent upon the computer. Fields covered include computer algorithms related to probability or statistics, studies in statistical inference by means of simulation techniques, and implementation of interactive statistical systems. JSCS does not consider applications of statistics to other fields, except as illustrations of the use of the original statistics presented. Accepted papers should ideally appeal to a wide audience of statisticians and provoke real applications of theoretical constructions.