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DISPERSION CONTROL FOR MULTIVARIATE PROCESSES
Authors:Pak F.  Tang Neil S.  Barnett
Affiliation:Dept of Computer and Mathematical Sciences, Victoria University of Technology, PO Box 14428, MCMC Melbourne, VIC 8001.
Abstract:This paper presents some techniques for monitoring and controlling the dispersion of multivariate normal processes based on subgroup data. The procedures involve use of independent statistics resulting from the decomposition of the covariance matrix. Those that do not depend on prior estimates of the process covariance matrix are particularly attractive to short-run or low volume manufacturing environments.
Keywords:Dispersion control      multivariate normal processes      rational subgroups      probability integral transformation      short production runs.
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