A Modified Poisson Exponentially Weighted Moving Average Chart Based on Improved Square Root Transformation

Authors

  • Saowanit Sukparungsee Department of Applied Statistics, Faculty of Applied Science, King Mongkut’s University of Technology North Bangkok, Bangkok, Thailand
  • Gabriele Mititelu Deans Unit School of Computing, Engineering and Mathematics, Western Sydney University, Sydney, 2008, Australia

Keywords:

Exponentially weighted moving average, improved square root transformation, average run length, nonconformities

Abstract

In this paper, the objective of the study is to propose a modified Poisson Exponentially Weighted Moving Average (EWMA) chart by Improving Square Root Transformation, namely ISRT  c EWMA in order to detection a change in Poisson observation. The performance of this control chart is compared with ISRT  c and EWMA charts in term of detection of a change in parameter by using the Average Run Length criterion. We compare the performance of the ISRT c EWMA chart with ISRT  c chart and EWMA chart by using ARL criteria. The numerical results also indicated that ISRT  EWMA chart is an effective alternative to the traditional EWMA control chart small shifts detection.

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Published

2016-07-30

How to Cite

Sukparungsee, S., & Mititelu, G. (2016). A Modified Poisson Exponentially Weighted Moving Average Chart Based on Improved Square Root Transformation. Thailand Statistician, 14(2), 197–202. Retrieved from https://ph02.tci-thaijo.org/index.php/thaistat/article/view/63624

Issue

Vol. 14 No. 2 (2016): July

Section

Articles