A Bayesian Parameter Estimation Approach to Response Surface Optimization in Quality Engineering
ABSTRACTInrecent years, Bayesian analyses have become increasingly popular for solvingindustrial related problems. This paper illustrates the use of Bayesian methodsin response surface methodology (RSM) in the context of “off-line quality”improvement. Bayesian linear regression uses the prior inform...
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| Format: | Article |
| Language: | English |
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Sakarya University
2019-10-01
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| Series: | Sakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi |
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| Online Access: | https://dergipark.org.tr/tr/download/article-file/682038 |
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| author | Elif Kozan Onur Köksoy |
| author_facet | Elif Kozan Onur Köksoy |
| author_sort | Elif Kozan |
| collection | DOAJ |
| description | ABSTRACTInrecent years, Bayesian analyses have become increasingly popular for solvingindustrial related problems. This paper illustrates the use of Bayesian methodsin response surface methodology (RSM) in the context of “off-line quality”improvement. Bayesian linear regression uses the prior information in the highuncertainty state of the response function to make more efficient and morerealistic inferences than can be obtained with classical regression. Severaldifferent models of parameter estimation and uncertainty analysis will bepresented for comparative purposes. An example illustrates the findings. |
| format | Article |
| id | doaj-art-d7df3bfa99b64c259d2709d3fa7bb5a3 |
| institution | Kabale University |
| issn | 2147-835X |
| language | English |
| publishDate | 2019-10-01 |
| publisher | Sakarya University |
| record_format | Article |
| series | Sakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi |
| spelling | doaj-art-d7df3bfa99b64c259d2709d3fa7bb5a32024-12-23T08:03:58ZengSakarya UniversitySakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi2147-835X2019-10-0123576777410.16984/saufenbilder.48578528A Bayesian Parameter Estimation Approach to Response Surface Optimization in Quality EngineeringElif Kozan0https://orcid.org/0000-0002-8267-074XOnur Köksoy1https://orcid.org/0000-0003-2634-0794EGE ÜNİVERSİTESİEGE ÜNİVERSİTESİABSTRACTInrecent years, Bayesian analyses have become increasingly popular for solvingindustrial related problems. This paper illustrates the use of Bayesian methodsin response surface methodology (RSM) in the context of “off-line quality”improvement. Bayesian linear regression uses the prior information in the highuncertainty state of the response function to make more efficient and morerealistic inferences than can be obtained with classical regression. Severaldifferent models of parameter estimation and uncertainty analysis will bepresented for comparative purposes. An example illustrates the findings.https://dergipark.org.tr/tr/download/article-file/682038response surface methodologybayesian regression |
| spellingShingle | Elif Kozan Onur Köksoy A Bayesian Parameter Estimation Approach to Response Surface Optimization in Quality Engineering Sakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi response surface methodology bayesian regression |
| title | A Bayesian Parameter Estimation Approach to Response Surface Optimization in Quality Engineering |
| title_full | A Bayesian Parameter Estimation Approach to Response Surface Optimization in Quality Engineering |
| title_fullStr | A Bayesian Parameter Estimation Approach to Response Surface Optimization in Quality Engineering |
| title_full_unstemmed | A Bayesian Parameter Estimation Approach to Response Surface Optimization in Quality Engineering |
| title_short | A Bayesian Parameter Estimation Approach to Response Surface Optimization in Quality Engineering |
| title_sort | bayesian parameter estimation approach to response surface optimization in quality engineering |
| topic | response surface methodology bayesian regression |
| url | https://dergipark.org.tr/tr/download/article-file/682038 |
| work_keys_str_mv | AT elifkozan abayesianparameterestimationapproachtoresponsesurfaceoptimizationinqualityengineering AT onurkoksoy abayesianparameterestimationapproachtoresponsesurfaceoptimizationinqualityengineering AT elifkozan bayesianparameterestimationapproachtoresponsesurfaceoptimizationinqualityengineering AT onurkoksoy bayesianparameterestimationapproachtoresponsesurfaceoptimizationinqualityengineering |