Article ID: | iaor19951302 |
Country: | United Kingdom |
Volume: | 33 |
Issue: | 2 |
Start Page Number: | 497 |
End Page Number: | 510 |
Publication Date: | Feb 1995 |
Journal: | International Journal of Production Research |
Authors: | Guo Y., Dooley D.J. |
Keywords: | statistics: general |
In order to enhance the probability of correct quality diagnosis, it is useful to be able to identify the statistical manner in which the quality signal has changed, i.e. identify change structure. Specifically the authors wish to distinguish between changes in mean, variance and lag one autocorrelation. Because these change structures yield significant similarities in their corresponding output, a multistage decision tree is necessary. A multistage classification system with a neural network and quadratic discriminant functions is used, where neural network output is an