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수정된 Notz계획을 이용한 2차모형의 경제적 추정

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dc.contributor.author윤태홍-
dc.contributor.author변재현-
dc.date.accessioned2022-12-27T02:06:26Z-
dc.date.available2022-12-27T02:06:26Z-
dc.date.issued2012-
dc.identifier.issn1229-1889-
dc.identifier.issn2287-9005-
dc.identifier.urihttps://scholarworks.gnu.ac.kr/handle/sw.gnu/22656-
dc.description.abstractPurpose: In this paper we propose modified Notz designs which are useful to experimenters who want to adopt the sequential experimentation strategy and to estimate second-order regression model with as few experimental points as possible. Methods: We first present the design matrices and design points in two or three dimensional spaces for such small sized second-order designs as small composite, hybrid, and Notz designs. Modified Notz designs are proposed and compared with some response surface designs in terms of the total number of experimental points, the estimation capability criteria such as D- and A-optimality. Results: When sequential experimentation is necessary, the modified Notz designs are recommendable. Conclusion: The result of this paper will be beneficial to experimenters who need to do experiments more efficiently, especially for those who want to reduce the time of experimentation as much as possible to develop cutting-edge products.-
dc.format.extent10-
dc.language영어-
dc.language.isoENG-
dc.publisher한국품질경영학회-
dc.title수정된 Notz계획을 이용한 2차모형의 경제적 추정-
dc.title.alternativeEconomic Second-Order Modeling Using Modified Notz Design-
dc.typeArticle-
dc.publisher.location대한민국-
dc.identifier.doi10.7469/JKSQM.2012.40.4.431-
dc.identifier.bibliographicCitation품질경영학회지, v.40, no.4, pp 431 - 440-
dc.citation.title품질경영학회지-
dc.citation.volume40-
dc.citation.number4-
dc.citation.startPage431-
dc.citation.endPage440-
dc.identifier.kciidART001725153-
dc.description.isOpenAccessY-
dc.description.journalRegisteredClasskci-
dc.subject.keywordAuthorResponse Surface Methodology-
dc.subject.keywordAuthorSecond-Order Modelling-
dc.subject.keywordAuthorModified Notz Design-
dc.subject.keywordAuthorOptimality Criteria-
dc.subject.keywordAuthorSequential Experimentation-
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