| dc.contributor.author | Min, Jun Young | |
| dc.date.accessioned | 2008-04-08T19:06:55Z | |
| dc.date.available | 2008-04-08T19:06:55Z | |
| dc.date.issued | 2008-04-08T19:06:55Z | |
| dc.date.submitted | May 2008 | en |
| dc.identifier.uri | http://hdl.handle.net/2097/597 | |
| dc.description.abstract | There have been considerable debates over the robust parameter design. As a result, there have been many approaches presented that are suited to the robust parameter design. In my report, I illustrate and present Taguchi's robust parameter design, response surface approach and semi-parameter design. Considerable attention has been placed on the semi-parameter design. This approach is new technology that was introduced to Picke, Robinson, Birch and Anderson-Cook (2006). The method is a combined parametric and nonparametric technique to improve the estimates of both the mean and the variance of the response. | en |
| dc.language.iso | en_US | en |
| dc.publisher | Kansas State University | en |
| dc.subject | Robust | en |
| dc.subject | Taguchi | en |
| dc.subject | response | en |
| dc.subject | semi-parameter | en |
| dc.title | Off-line quality control by robust parameter design | en |
| dc.type | Report | en |
| dc.description.degree | Master of Science | en |
| dc.description.level | Masters | en |
| dc.description.department | Department of Statistics | en |
| dc.description.advisor | Shie-Shien Yang | en |
| dc.subject.umi | Statistics (0463) | en |
| dc.date.published | 2008 | en |
| dc.date.graduationmonth | May | en |
| Files | Size | Format | View |
|---|