Journal of the American Statistical Association · 1953 · 40 citations · 11 references
ManagementQuality ManagementProcess ControlQuality ControlStatisticsControl ChartsStatistical Process ControlControl ChartingQuality Control ChartingQuality Control ChartsQuality Control Limits
Abstract For quality control charts controlling the mean of a normal population, either small samples are taken out at frequent intervals or large samples at less frequent intervals. It will be shown that in order to detect small changes of the population mean, the amount of inspection is greatly reduced by the selection of large samples. However, if for other reasons small samples are desirable, a control by runs of sample means above or below certain control limits makes it possible to use small samples and yet maintain the advantage of a reduced amount of inspection. For certain types of runs, the sample size n = 1 turns out to be very economical, so that time saving methods of control by gauging may be introduced without appreciable loss of efficiency.
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Eric R. Ziegel, Eugène L. Grant, Richard S. Leavenworth · Technometrics · 1990 · 894 citations
Z. W. Birnbaum, S. S. Wilks · Journal of the American Statistical Association · 1963 · 489 citations
The Distribution Theory of Runs
Alexander M. Mood · The Annals of Mathematical Statistics · 1940 · 471 citations
PROBABILITY THEORY AND ITS APPLICATIONS
J. Th. Runnenburg · Statistica Neerlandica · 1985 · 403 citations