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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Amiri, A. Koosha, M. |
| Copyright Year | 2011 |
| Description | Author affiliation: Shahed university, Department of industrial engineering (Amiri, A.; Koosha, M.) |
| Abstract | There are many researches in the area of profile monitoring and most of them have two basic assumptions including the normality of response variable as well as independency of observations within each profile. In recent years there are some researches investigating the violation of the assumptions. This paper shows the effect of ignoring autocorrelation on the performance of $T^{2}$ control chart when the response variable follows a binomial distribution. Besides, a simple method is proposed to account for this effect in the $T^{2}$ control chart. At the end, the performance of the proposed method is evaluated using simulation studies. |
| Starting Page | 264 |
| Ending Page | 267 |
| File Size | 616442 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781457706264 |
| e-ISBN | 9781457706288 |
| DOI | 10.1109/ICQR.2011.6031722 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-09-14 |
| Publisher Place | Thailand |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Maximum likelihood estimation Logistic regression Correlation Computational modeling Process control Control charts Profile monitoring Autocorrelation Monitoring $T^{2}$ control chart Logistics |
| Content Type | Text |
| Resource Type | Article |
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