Abstract

This article introduces Multivariate Modified Exponentially Weighted Moving Average (MMOEWMA) control chart, a chart for detecting shifts of all kinds in case of highly first order vector autoregressive VAR (1) process. This chart is based on modified MEWMA control chart statistic which is a correction of MEWMA chart statistic. The performance of MMOEWMA chart is illustrated along with MEWMA chart for a chemical process data. The average run length (ARL) properties of MMOEWMA scheme are derived using Markov Chain approach. Algorithm for the ARL computation and R-program of monitoring MMOEWMA control chart are provided.

How to Cite
K. PATEL, JYOTI DIVECHA, Alpaben. Modified MEWMA Control Scheme for an Analytical Process Data. Global Journal of Computer Science and Technology, [S.l.], apr. 2013. ISSN 0975-4172. Available at: <https://computerresearch.org/index.php/computer/article/view/338>. Date accessed: 19 jan. 2021.