Comparison of designs for the three-fold nested random model
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Jung, Byoung Cheol | - |
dc.contributor.author | Khuri, Andre I. | - |
dc.contributor.author | Lee, Juneyoung | - |
dc.date.accessioned | 2021-09-09T16:45:48Z | - |
dc.date.available | 2021-09-09T16:45:48Z | - |
dc.date.created | 2021-06-15 | - |
dc.date.issued | 2008 | - |
dc.identifier.issn | 0266-4763 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/125598 | - |
dc.description.abstract | The quality of estimation of variance components depends on the design used as well as on the unknown values of the variance components. In this article, three designs are compared, namely, the balanced, staggered, and inverted nested designs for the three-fold nested random model. The comparison is based on the so-called quantile dispersion graphs using analysis of variance (ANOVA) and maximum likelihood (ML) estimates of the variance components. It is demonstrated that the staggered nested design gives more stable estimates of the variance component for the highest nesting factor than the balanced design. The reverse, however, is true in case of lower nested factors. A comparison between ANOVA and ML estimation of the variance components is also made using each of the aforementioned designs. | - |
dc.language | English | - |
dc.language.iso | en | - |
dc.publisher | ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD | - |
dc.subject | VARIANCE-COMPONENTS ESTIMATION | - |
dc.subject | QUANTILE DISPERSION GRAPHS | - |
dc.subject | SAMPLING DISTRIBUTIONS | - |
dc.subject | STANDARD DEVIATIONS | - |
dc.subject | SPATIAL SCALE | - |
dc.title | Comparison of designs for the three-fold nested random model | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Lee, Juneyoung | - |
dc.identifier.doi | 10.1080/02664760801924079 | - |
dc.identifier.scopusid | 2-s2.0-46249123142 | - |
dc.identifier.wosid | 000256403300009 | - |
dc.identifier.bibliographicCitation | JOURNAL OF APPLIED STATISTICS, v.35, no.6, pp.701 - 715 | - |
dc.relation.isPartOf | JOURNAL OF APPLIED STATISTICS | - |
dc.citation.title | JOURNAL OF APPLIED STATISTICS | - |
dc.citation.volume | 35 | - |
dc.citation.number | 6 | - |
dc.citation.startPage | 701 | - |
dc.citation.endPage | 715 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Mathematics | - |
dc.relation.journalWebOfScienceCategory | Statistics & Probability | - |
dc.subject.keywordPlus | VARIANCE-COMPONENTS ESTIMATION | - |
dc.subject.keywordPlus | QUANTILE DISPERSION GRAPHS | - |
dc.subject.keywordPlus | SAMPLING DISTRIBUTIONS | - |
dc.subject.keywordPlus | STANDARD DEVIATIONS | - |
dc.subject.keywordPlus | SPATIAL SCALE | - |
dc.subject.keywordAuthor | ANOVA | - |
dc.subject.keywordAuthor | balanced nested design | - |
dc.subject.keywordAuthor | four-stage nested experiment | - |
dc.subject.keywordAuthor | inverted nested design | - |
dc.subject.keywordAuthor | maximum likelihood | - |
dc.subject.keywordAuthor | quantile dispersion graphs | - |
dc.subject.keywordAuthor | staggered nested design | - |
dc.subject.keywordAuthor | variance components | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
145 Anam-ro, Seongbuk-gu, Seoul, 02841, Korea+82-2-3290-2963
COPYRIGHT © 2021 Korea University. All Rights Reserved.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.