Monitoring correlated processes with binomial marginals |
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Authors: | Christian H Weiß |
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Institution: | Department of Statistics, Institute of Mathematics , University of Würzburg , Würzburg , Germany |
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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. |
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Keywords: | binomial AR(1) models statistical process control control charts case study |
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