A Distribution-free Multivariate Change-point Model for Statistical Process Control

DOI10.1080/03610918.2013.835411zbMath1320.62230OpenAlexW2069916018MaRDI QIDQ5265818

Zhonghua Li, Maoyuan Zhou, Xue-Min Zi, Wei Geng

Publication date: 29 July 2015

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610918.2013.835411

zbMATH Keywords

change-pointminimal spanning treemultivariate statistical process controlmultivariate goodness-of-fit test

Mathematics Subject Classification ID

Hypothesis testing in multivariate analysis (62H15) Applications of statistics in engineering and industry; control charts (62P30)

Related Items (2)

Generalized run tests for statistical process control ⋮ A new bivariate semiparametric control chart based on order statistics and concomitants

Cites Work

• Unnamed Item
• Distribution-free monitoring of univariate processes
• Multivariate generalizations of the Wald-Wolfowitz and Smirnov two-sample tests
• On the multivariate runs test
• A Double Multivariate Exponentially Weighted Moving Average (dMEWMA) Control Chart for a Process Location Monitoring
• Bootstrap-BasedT²Multivariate Control Charts
• Multivariate Statistical Process Control Using LASSO
• The Performance of the MEWMA Control Chart when Parameters are Estimated
• A spatial rank-based multivariate EWMA control chart
• The Design of the Multivariate Synthetic Exponentially Weighted Moving Average Control Chart
• Multivariate Change Point Control Chart Based on Data Depth for Phase I Analysis

This page was built for publication: A Distribution-free Multivariate Change-point Model for Statistical Process Control