Abstract
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 language | English (US) |
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Pages (from-to) | 15-42 |
Number of pages | 28 |
Journal | International Journal of Data Analysis Techniques and Strategies |
Volume | 6 |
Issue number | 1 |
DOIs | |
State | Published - 2014 |
Keywords
- Multivariate Poisson Distribution
- One-Sided Mewma Control Chart
ASJC Scopus subject areas
- Information Systems
- Information Systems and Management
- Applied Mathematics