Monitoring correlated processes with binomial marginals

Christian Weiss

Journal of Applied Statistics, 2009, vol. 36, issue 4, pages 399-414

Abstract: Few approaches for monitoring autocorrelated attribute data have been proposed in the literature. If the marginal process distribution is binomial, then the binomial AR(1) model as a realistic and well-interpretable process model may be adequate. Based on known and newly derived statistical properties of this model, we shall develop approaches to monitor a binomial AR(1) process, and investigate their performance in a simulation study. A case study demonstrates the applicability of the binomial AR(1) model and of the proposed control charts to problems from statistical process control.

Keywords: binomial AR(1) models; statistical process control; control charts; case study (search for similar items in EconPapers)
Date: 2009
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