EWMA control charts for monitoring correlated counts with finite range

Maria Anastasopoulou and Athanasios C. Rakitzis

Journal of Applied Statistics, 2022, vol. 49, issue 3, 553-573

Abstract: In this work, we develop and study upper and lower one-sided EWMA control charts for monitoring correlated counts with finite range. Often in practice, data of that kind can be adequately described by a first-order binomial or beta-binomial autoregressive model. Especially, when there is evidence that data demonstrate extra-binomial variation, the latter model is preferable than the former. The proposed charts can be used for detecting upward or downward shifts in process mean level. Practical guidelines concerning the statistical design of the proposed charts are given, while the effect of the extra-binomial variation is investigated as well. Comparisons with existing control charting procedures are also provided. Finally, an illustrative real-data example is also given.

Date: 2022
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DOI: 10.1080/02664763.2020.1820959

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