Understanding Industrial Designed Experiments |
Contents
Statistical Techniques | 2-1 |
Appendix 2B Comparison of Confidence Interval tTest 249 | 2-49 |
Problem Set 255 | 2-55 |
Copyright | |
13 other sections not shown
Common terms and phrases
2-way interactions aliased analysis analyze ANOVA ANTIOX approach b₁ brainstorming center points central composite design Chapter coefficient column combinations confirmation runs countersink D-optimal design matrix Design of Experiments designed experiment determine dispersion effects engineering estimate example experimental design factor levels factor settings factorial design Figure fractional factorial full factorial graph improve indicates input factors lack of fit level designs linear loss function main effects measured method minimize NEOPRENE number of runs optimal outer array output PARAFIN performance PHR GNA PHR GW PHR Z2 Plackett-Burman design prediction equation prediction interval pressure problem quadratic random ratio replicated Response Surface Response Surface Methodology sample shown in table significant simulation Softbake solder SQUARED MULTIPLE standard deviation statistical Statistical Process Control Taguchi Taguchi Methods target techniques Temp temperature thickness values variability variance variation Wave Solder