Bayesian Taguchi method
The Bayesian Taguchi method integrates Genichi Taguchi's robust parameter design philosophy with Bayesian statistical inference. By encoding prior engineering knowledge as probability distributions and updating these distributions with experimental data, the approach identifies factor settings that simultaneously minimize process variability and keep the mean on target — even when only limited runs are feasible.
Rekodi ya chanzo
Nukuu zimehamishwa kwa uhalisi kutoka kwa rekodi ya chanzo cha mbinu. Hakuna uthibitisho wa kiwango cha dai unaodokezwa kutoka kwao.
- Hamada, M., & Wu, C. F. J. (1992). Analysis of designed experiments with complex aliasing. Journal of Quality Technology, 24(3), 130–137. · DOI 10.1080/00224065.1992.11979383
- Box, G. E. P., & Jones, S. (1992). Designing products that are robust to the environment. Total Quality Management, 3(3), 265–282. · DOI 10.1080/09544129200000034
Madai yaliyotunzwa
Madai yamehifadhiwa katika daftari la ushahidi, kila moja ikiwa na tathmini yake.
Mwonekano huu haubuni tathmini ya dai wakati daftari haina yoyote.
Mbinu zinazohusiana
Zilizotengenezwa kutoka kwa grafu ya mbinu na kuonyeshwa kama uhusiano uliopendekezwa na mashine — hakuna dai la ushahidi linalodokezwa.