Posterior Distribution Charts: A Bayesian Approach for Graphically Exploring a Process Mean


We develop a Bayesian approach for monitoring and graphically exploring a process mean and informing decisions related to process adjustment. We assume a rather general model, in which the observations are represented as a process mean plus a random error term. In contrast to previous work on Bayesian methods for monitoring a mean, we allow any Markov model… (More)
DOI: 10.1080/00401706.2012.694722


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