Off-line quality control by robust parameter design
Master of Science === Department of Statistics === Shie-Shien Yang === 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 r...
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ndltd-KSU-oai-krex.k-state.edu-2097-5972017-08-16T15:44:32Z Off-line quality control by robust parameter design Min, Jun Young Robust Taguchi response semi-parameter Statistics (0463) Master of Science Department of Statistics Shie-Shien Yang 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. 2008-04-08T19:06:55Z 2008-04-08T19:06:55Z 2008-04-08T19:06:55Z 2008 May Report http://hdl.handle.net/2097/597 en_US Kansas State University |
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Robust Taguchi response semi-parameter Statistics (0463) |
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Robust Taguchi response semi-parameter Statistics (0463) Min, Jun Young Off-line quality control by robust parameter design |
description |
Master of Science === Department of Statistics === Shie-Shien Yang === 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. |
author |
Min, Jun Young |
author_facet |
Min, Jun Young |
author_sort |
Min, Jun Young |
title |
Off-line quality control by robust parameter design |
title_short |
Off-line quality control by robust parameter design |
title_full |
Off-line quality control by robust parameter design |
title_fullStr |
Off-line quality control by robust parameter design |
title_full_unstemmed |
Off-line quality control by robust parameter design |
title_sort |
off-line quality control by robust parameter design |
publisher |
Kansas State University |
publishDate |
2008 |
url |
http://hdl.handle.net/2097/597 |
work_keys_str_mv |
AT minjunyoung offlinequalitycontrolbyrobustparameterdesign |
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1718516599044964352 |