Online monitoring of process variance drifts for leptokurtic and heavy‐tailed data-Reference-Cited by-同舟云学术

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Online monitoring of process variance drifts for leptokurtic and heavy‐tailed data

Published:2021-12-03 Issue:2 Volume:38 Page:1045-1059
ISSN:0748-8017
Container-title:Quality and Reliability Engineering International
language:en
Short-container-title:Quality & Reliability Eng

Author:

Tan Wushuang¹,Liu Liu¹^ORCID

Affiliation:

1. School of Mathematics and VC & VR Key Laboratory of Sichuan Province Sichuan Normal University Chengdu China

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Management Science and Operations Research,Safety, Risk, Reliability and Quality

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/qre.3033

Reference20 articles.

1. Change detection in parametric multivariate dynamic data streams using the ARMAX‐GARCH model;Yu M;J Qual Technol,2021

2. A distribution-free joint monitoring scheme for location and scale using individual observations

3. Optimal design of an attribute control chart for monitoring the mean of autocorrelated processes

4. Constructing a Control Chart Using Functional Data

5. XinL YuPL LamK.An application of CUSUM chart on financial trading.International Conference on Computational Intelligence and Security.2013;1:178–181.

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