The following is a supplement to the article "Extrusion Die Design: A New Methodology for Experimental Design as a Precursor to Neural Networks" by Bhavin V. Mehta et al., which is as part of JOM-e, 51 (9) (1999). |
Table VI. Residuals Normality Diagnostics of Case 25-1 | ||
---|---|---|
k | Ordered ei |
Pk |
1 | -0.02506 | -0.04723 |
2 | -0.02168 | -0.03422 |
3 | -0.02123 | -0.02639 |
4 | -0.01876 | -0.02034 |
5 | -0.01538 | -0.01520 |
6 | -0.00380 | -0.01057 |
7 | -0.00380 | -0.00623 |
8 | -0.00239 | -0.00206 |
9 | -0.00048 | 0.00206 |
10 | 0.00138 | 0.00623 |
11 | 0.00138 | 0.01057 |
12 | 0.00290 | 0.01520 |
13 | 0.00481 | 0.02034 |
14 | 0.00796 | 0.02639 |
15 | 0.03248 | 0.03422 |
16 | 0.06168 | 0.04723 |
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