A Bayesian Parameter Estimation Approach to Response Surface Optimization in Quality Engineering
Makaleler > Tam Makale · 2019
Yazarlar: Elif KOZAN, Onur KÖKSOY
Sakarya University Journal of Science, Uluslararası, 2019, cilt 23, ss 767-774
DOI: 10.16984/saufenbilder.485785
Özet
ABSTRACT In recent years, Bayesian analyses have become increasingly popular for solving industrial related problems. This paper illustrates the use of Bayesian methods in response surface methodology (RSM) in the context of “off-line quality” improvement. Bayesian linear regression uses the prior information in the high uncertainty state of the response function to make more efficient and more realistic inferences than can be obtained with classical regression. Several different models of parameter estimation and uncertainty analysis will be presented for comparative purposes. An example illustrates the findings.