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...
Saved in:
| Main Authors: | Elif Kozan, Onur Köksoy |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Sakarya University
2019-10-01
|
| Series: | Sakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi |
| Subjects: | |
| Online Access: | https://dergipark.org.tr/tr/download/article-file/682038 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Estimation of Fuzzy Regression Parameters With ANFIS and Bayesian Methods
by: M. Pakdel, et al.
Published: (2025-01-01) -
Optimization of Processing Parameters for Lettuce Vacuum Osmotic Dehydration Using Response Surface Methodology
by: Yuan Yuejin, et al.
Published: (2018-03-01) -
Response surface methodology optimization of electrode modification parameters toward hydrazine electrooxidation on Pd/MWCNT/GCE
by: Berdan Ulaş
Published: (2023-12-01) -
Effect of process parameters on the rheological properties of banana (Musa acuminata) fiber and optimization using response surface methodology
by: Shubham Pandey, et al.
Published: (2024-12-01) -
Optimization of machining parameters while turning AISI316 stainless steel using response surface methodology
by: Mulugundam Siva Surya
Published: (2024-12-01)