Name
Abstract | ||
|---|---|---|
In this article, we develop an unbiased estimator of the mean shift, and then use it to enhance the sensitivity of the existing adaptive CUSUM (ACUSUM) chart. Moreover, a new ACUSUM chart is proposed using the structure of the Crosier CUSUM chart and the new mean shift estimator. A comprehensive zero-state run length comparison is conducted between the proposed and existing ACUSUM charts in terms of the average run length measures, which shows that the former uniformly outperform the latter. A real dataset is also used to explain the implementation of existing and proposed ACUSUM charts. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1080/03610918.2018.1530786 | COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION |
Keywords | DocType | Volume |
Adaptive CUSUM, Average run length, Control chart, Extra quadratic loss, Integral relative average run length, Monte Carlo simulation, Process mean, Statistical process control | Journal | 49 |
Issue | ISSN | Citations |
11 | 0361-0918 | 0 |
PageRank | References | Authors |
0.34 | 1 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Saba Abbasi | 1 | 0 | 0.34 |
| Abdul Haq | 2 | 63 | 18.42 |