An Empirical-Likelihood-Based Multivariate EWMA Control Scheme

DOI10.1080/03610926.2011.579381zbMath1298.62205OpenAlexW2052808095MaRDI QIDQ5299086

Guohong Sun, Xue-Min Zi

Publication date: 25 June 2013

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610926.2011.579381

zbMATH Keywords

robustnessNewton-Raphsonweighted likelihoodstatistical process controladjusted empirical likelihoodnonparametric procedure

Mathematics Subject Classification ID

Asymptotic distribution theory in statistics (62E20) Asymptotic properties of nonparametric inference (62G20) Applications of statistics in engineering and industry; control charts (62P30) Sensitivity (robustness) (93B35) Stochastic systems in control theory (general) (93E03)

Related Items (2)

An empirical likelihood-based CUSUM for on-line model change detection ⋮ Two non parametric methods for change-point detection in distribution

Cites Work

• An adaptive empirical likelihood test for parametric time series regression models
• Empirical likelihood ratio confidence regions
• Empirical likelihood ratio test for the change-point problem
• Nonparametric control chart based on change-point model
• Empirical likelihood based hypothesis testing
• DDMA-charts: nonparametric multivariate moving average control charts based on data depth
• Multivariate Statistical Process Control Using LASSO
• A semiparametric changepoint model
• Empirical Likelihood Ratio Test for a Change-Point in Linear Regression Model
• Empirical likelihood ratio confidence intervals for a single functional
• An Empirical Likelihood Goodness-of-Fit Test for Time Series
• On the exponentially weighted moving variance

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