A one-sided MEWMA control chart for Poisson-distributed data

Busaba Laungrungrong, Connie M. Borror, Douglas Montgomery

Research output: Contribution to journalArticlepeer-review

12 Scopus citations


This paper introduces a one-sided multivariate exponentially weighted moving average (MEWMA) chart for detecting an increase in a process mean. The control limits are based on the multivariate Poisson distribution and have applications for both industrial processes and public health data. The statistical performance of the proposed MEWMA is examined using run length distributions and is also compared to the traditional MEWMA based on normal-theory limits. Two out-of-control scenarios are of interest: 1) detecting a single point plotting beyond the control limits 2) a run of two or more points in a row.

Original languageEnglish (US)
Pages (from-to)15-42
Number of pages28
JournalInternational Journal of Data Analysis Techniques and Strategies
Issue number1
StatePublished - 2014


  • Multivariate Poisson Distribution
  • One-Sided Mewma Control Chart

ASJC Scopus subject areas

  • Information Systems
  • Information Systems and Management
  • Applied Mathematics


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