Minimum Bias Design for Polynomial Regression
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Jang, Dae-Heung | - |
dc.contributor.author | Kim, Youngil | - |
dc.date.accessioned | 2023-03-08T18:22:26Z | - |
dc.date.available | 2023-03-08T18:22:26Z | - |
dc.date.issued | 2015-12 | - |
dc.identifier.issn | 1225-066X | - |
dc.identifier.issn | 2383-5818 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/64420 | - |
dc.description.abstract | Traditional criteria for optimum experimental designs depend on the specifications of the model; however, there will be a dilemma when we do not have perfect knowledge about the model. Box and Draper (1959) suggested one direction to minimize bias that may occur in this situation. We will demonstrate some examples with exact solutions that provide a no-bias design for polynomial regression. The most interesting finding is that a design that requires less bias should allocate design points away from the border of the design space. | - |
dc.format.extent | 8 | - |
dc.language | 한국어 | - |
dc.language.iso | KOR | - |
dc.publisher | KOREAN STATISTICAL SOC | - |
dc.title | Minimum Bias Design for Polynomial Regression | - |
dc.type | Article | - |
dc.identifier.doi | 10.5351/KJAS.2015.28.6.1227 | - |
dc.identifier.bibliographicCitation | KOREAN JOURNAL OF APPLIED STATISTICS, v.28, no.6, pp 1227 - 1234 | - |
dc.identifier.kciid | ART002068178 | - |
dc.description.isOpenAccess | N | - |
dc.citation.endPage | 1234 | - |
dc.citation.number | 6 | - |
dc.citation.startPage | 1227 | - |
dc.citation.title | KOREAN JOURNAL OF APPLIED STATISTICS | - |
dc.citation.volume | 28 | - |
dc.type.docType | Article | - |
dc.publisher.location | 대한민국 | - |
dc.subject.keywordAuthor | bias | - |
dc.subject.keywordAuthor | minimum bias design | - |
dc.subject.keywordAuthor | Q-optimal design | - |
dc.subject.keywordAuthor | integrated mean squared error(IMSE) | - |
dc.relation.journalResearchArea | Mathematics | - |
dc.relation.journalWebOfScienceCategory | Statistics & Probability | - |
dc.description.journalRegisteredClass | kci | - |
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