A Bayesian Parameter Estimation Approach to Response Surface Optimization in Quality Engineering

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Sakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi
Volume:23 Issue:5
A Bayesian Parameter Estimation Approach to Response Surface Optimization in Quality Engineering

A Bayesian Parameter Estimation Approach to Response Surface Optimization in Quality Engineering

Authors : Elif Kozan, Onur Köksoy

Pages : 767-774

Doi:10.16984/saufenbilder.485785

View : 37 | Download : 11

Publication Date : 2019-10-01

Article Type : Research Paper

Abstract :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 insert ignore into journalissuearticles values(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.
Keywords : Response surface methodology, Bayesian regression

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