An MEWMA control chart based on multivariate Poisson distribution data

Count data appears widely in finance, biomedical science, psychology, actuarial insurance, road safety and many other areas of life, it is often multivariate. In this paper, we consider using the multivariate exponentially weighted moving average (MEWMA) control chart method to monitor count under assumption Poisson distribution, which derived by He [1] from another form gamma distribution. We illustrate proposed scheme numerical simulation. provide two tables run length (ARL) values MEWMA with different parameter shifts. The performance evaluated ARL, given a shift occurred, able deliver satisfactory efficiency.