One-sided EWMA control charts for monitoring Poisson processes with varying sample sizes

Qin Zhou, Lianjie Shu and Wei Jiang

Communications in Statistics - Theory and Methods, 2016, vol. 45, issue 20, 6112-6132

Abstract: Recently considerable research has been devoted to monitoring increases of incidence rate of adverse rare events. This paper extends some one-sided upper exponentially weighted moving average (EWMA) control charts from monitoring normal means to monitoring Poisson rate when sample sizes are varying over time. The approximated average run length bounds are derived for these EWMA-type charts and compared with the EWMA chart previously studied. Extensive simulations have been conducted to compare the performance of these EWMA-type charts. An illustrative example is given.

Date: 2016
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DOI: 10.1080/03610926.2014.957853

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