Multivariate Change Point Control Chart Based on Data Depth for Phase I Analysis

DOI10.1080/03610918.2012.735319zbMath1333.62304OpenAlexW2035531503MaRDI QIDQ5418882

Yi Dai, Zhaojun Wang, Zhonghua Li

Publication date: 30 May 2014

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

Full work available at URL: https://doi.org/10.1080/03610918.2012.735319

zbMATH Keywords

robustnessfalse alarm probabilitynonparametric testindividual observations

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Applications of statistics in engineering and industry; control charts (62P30)

Related Items

The effect of aggregating multivariate count data using Poisson profiles, Distribution-free Phase-I scheme for location, scale and skewness shifts with an application in monitoring customers' waiting time, Two non parametric methods for change-point detection in distribution, Process capability vector for multivariate nonlinear profiles, Dual Nonparametric CUSUM Control Chart Based on Ranks, Multivariate Control Chart Based on Multivariate Smirnov Test, A Distribution-free Multivariate Change-point Model for Statistical Process Control

Uses Software

• AS 307

Cites Work

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• A Non-Parametric Approach to the Change-Point Problem
• Distribution-free monitoring of univariate processes
• On a notion of data depth based on random simplices
• Estimating the number of change-points via Schwarz' criterion
• Change point estimation using nonparametric regression
• Data depth based on spatial rank.
• General notions of statistical depth function.
• A multivariate control chart for simultaneously monitoring process mean and variability
• CONTROL CHARTS WITH WARNING LINES
• Algorithm AS 307: Bivariate Location Depth