Multivariate Control Charts for Monitoring the Mean Vector and Covariance Matrix with Variable Sampling Intervals

DOI10.1080/07474946.2010.520627zbMath1209.62377OpenAlexW1972290760MaRDI QIDQ3083469

Marion R. jun. Reynolds, Gyo-Young Cho

Publication date: 21 March 2011

Published in: Sequential Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/07474946.2010.520627

zbMATH Keywords

tablesaverage time to signalsequential samplingstatistical process controlexponentially weighted moving average control chartmultivariate exponentially weighted moving average control chartregression adjustment of variablessquared deviations from targetsteady-state average time to signal

Mathematics Subject Classification ID

Related Items (8)

An adaptive variable-parameters scheme for the simultaneous monitoring of the mean and variability of an autocorrelated multivariate normal process ⋮ An adaptive max-type multivariate control chart by considering measurement errors and autocorrelation ⋮ Accurate Tests and Intervals Based on Multivariate CUSUM Statistics ⋮ Stochastic Ordering in the Qualitative Assessment of the Performance of Simultaneous Schemes for Bivariate Processes ⋮ Design of a multivariate exponentially weighted moving average control chart with variable sampling intervals ⋮ Control charts with switching and sensitizing runs rules for monitoring process variation ⋮ Variable Sampling Interval Cumulative Count of Conforming Chart with Runs Rules ⋮ Multivariate Synthetic |S| Control Chart with Variable Sampling Interval

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