THE MULTIVARIATE SHORT-RUN SNAPSHOT Q CHART

C. P. Quesenberry

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Advanced Statistical Process Monitoring Fault Detection and Control Systems Management Systems and Quality Improvement

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[This abstract is based on the author's abstract.] Most production processes have many quality variables that may be charted. Multivariate charts for large numbers of variables are not sensitive in detecting mean shifts for individual variables, how..

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1993The Effect of Sample Size on Estimated Limits forXandXControl Charts 1991SPCQCharts for Start-Up Processes and Short or Long Runs 1995On Properties ofQCharts for Variables 1999SPC Methods for Quality Improvement 1981Shewhart x-charts with estimated process variance 1998The Performance of Bootstrap Control Charts

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2009A Multistep, Cluster-Based Multivariate Chart for Retrospective Monitoring of Individuals 2021Robust multivariate control chart based on shrinkage for individual observations 2023Robust multivariate quality control charts for enhanced variability monitoring 2014Selection of the Most Suitable Statistical Process Control Approach for Short Production Runs: A Decision-Model 2011Robust Multivariate Control Charts to Detect Small Shifts in Mean 2012Alternative Hotelling's T2 Charts using Winsorized Modified One‐Step M‐estimator 2005SHORT RUNS MULTIVARIATE CONTROL CHART FOR PROCESS DISPERSION 2009

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