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 c EWMA chart is an effective alternative to the traditional EWMA control chart small shifts detection.
| Original language | English |
|---|---|
| Pages (from-to) | 197-202 |
| Number of pages | 6 |
| Journal | Thailand Statistician |
| Volume | 14 |
| Issue number | 2 |
| Publication status | Published - 2016 |
Keywords
- exponentially weighted moving average
- square root
- integral equations
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