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 III. The Normalization Effect of Case 25-1 | |||
---|---|---|---|
Run | Effect (Sorted) |
Norm. Z((i-0.5)/(n-1)) |
|
1 | -0.1335 | -1.8339 | a |
2 | -0.1082 | -1.2816 | ab |
3 | -0.0214 | -0.9674 | ac |
4 | -0.0190 | -0.7279 | abc |
5 | -0.0131 | -0.5244 | ad |
6 | -0.0121 | -0.3407 | abd |
7 | -0.0058 | -0.1679 | bd |
8 | -0.0057 | 0.0000 | d |
9 | 0.0063 | 0.1679 | acd |
10 | 0.0115 | 0.3407 | abcd |
11 | 0.0138 | 0.5244 | bcd |
Direct questions about this or any other JOM page to jom@tms.org.
Search | TMS Document Center | Mehta's Main Text | Other Hypertext Articles | JOM | TMS OnLine |
---|