An adaptive EWMA control chart for monitoring zero-inflated Poisson processes

• Published in: Communications in statistics. Simulation and computation Vol. 51; no. 4; pp. 1564 - 1577
• Main Authors: Aly, Aya A., Saleh, Nesma A., Mahmoud, Mahmoud A.
• Format: Journal Article
• Language: English
• Published: Taylor & Francis 03.04.2022
• Subjects: Adaptive exponentially weighted moving average; Markov chain; Optimal design; Statistical process monitoring; Zero-inflated Poisson distribution

Zero-Inflated Poisson (ZIP) distribution is used to model count data with excessive zeros. In this article, we develop and design an adaptive exponentially weighted moving average (AEWMA) control chart for monitoring ZIP processes. A Markov Chain approach is used to approximate the performance measu...