Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 유재근 | * |
dc.date.accessioned | 2020-08-24T16:30:19Z | - |
dc.date.available | 2020-08-24T16:30:19Z | - |
dc.date.issued | 2019 | * |
dc.identifier.issn | 2287-7843 | * |
dc.identifier.other | OAK-27752 | * |
dc.identifier.uri | https://dspace.ewha.ac.kr/handle/2015.oak/255210 | - |
dc.description.abstract | Response dimension reduction in a sufficient dimension reduction (SDR) context has been widely ignored until Yoo and Cook (Computational Statistics and Data Analysis, 53, 334�343, 2008) founded theories for it and developed an estimation approach. Recent research in SDR shows that a semi-parametric approach can outperform conventional non-parametric SDR methods. Yoo (Statistics: A Journal of Theoretical and Applied Statistics, 52, 409�425, 2018) developed a semi-parametric approach for response reduction in Yoo and Cook (2008) context, and Yoo (Journal of the Korean Statistical Society, 2019) completes the semi-parametric approach by proposing an unstructured method. This paper theoretically discusses and provides insightful remarks on three versions of semi-parametric approaches that can be useful for statistical practitioners. It is also possible to avoid numerical instability by presenting the results for an orthogonal transformation of the response variables. © 2019 The Korean Statistical Society, and Korean International Statistical Society. All rights reserved. | * |
dc.language | English | * |
dc.publisher | Korean Statistical Society | * |
dc.subject | Conditional mean | * |
dc.subject | Multivariate regression | * |
dc.subject | Response dimension reduction | * |
dc.subject | Semi-parametric model | * |
dc.subject | Sufficient dimension reduction | * |
dc.title | Note on response dimension reduction for multivariate regression | * |
dc.type | Article | * |
dc.relation.issue | 5 | * |
dc.relation.volume | 26 | * |
dc.relation.index | SCOPUS | * |
dc.relation.index | KCI | * |
dc.relation.startpage | 519 | * |
dc.relation.lastpage | 526 | * |
dc.relation.journaltitle | Communications for Statistical Applications and Methods | * |
dc.identifier.doi | 10.29220/CSAM.2019.26.5.519 | * |
dc.identifier.scopusid | 2-s2.0-85074632127 | * |
dc.author.google | Yoo J.K. | * |
dc.contributor.scopusid | 유재근(23032759600) | * |
dc.date.modifydate | 20240130113500 | * |