Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 유재근 | * |
dc.date.accessioned | 2016-08-27T02:08:30Z | - |
dc.date.available | 2016-08-27T02:08:30Z | - |
dc.date.issued | 2013 | * |
dc.identifier.issn | 0094-9655 | * |
dc.identifier.issn | 1563-5163 | * |
dc.identifier.other | OAK-9614 | * |
dc.identifier.uri | https://dspace.ewha.ac.kr/handle/2015.oak/216693 | - |
dc.description.abstract | We present a novel approach to sufficient dimension reduction for the conditional kth moments in regression. The approach provides a computationally feasible test for the dimension of the central kth-moment subspace. In addition, we can test predictor effects without assuming any models. All test statistics proposed in the novel approach have asymptotic chi-squared distributions. | * |
dc.language | English | * |
dc.publisher | TAYLOR & | * |
dc.publisher | FRANCIS LTD | * |
dc.subject | chi-squared tests | * |
dc.subject | kth-moment dimension reduction | * |
dc.subject | predictor effect tests | * |
dc.subject | regression | * |
dc.subject | sufficient dimension reduction | * |
dc.subject | 62G08 | * |
dc.subject | 62H05 | * |
dc.title | Chi-squared tests in kth-moment sufficient dimension reduction | * |
dc.type | Article | * |
dc.relation.issue | 1 | * |
dc.relation.volume | 83 | * |
dc.relation.index | SCIE | * |
dc.relation.index | SCOPUS | * |
dc.relation.startpage | 191 | * |
dc.relation.lastpage | 201 | * |
dc.relation.journaltitle | JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION | * |
dc.identifier.doi | 10.1080/00949655.2011.635304 | * |
dc.identifier.wosid | WOS:000313033800014 | * |
dc.author.google | Yoo, Jae Keun | * |
dc.contributor.scopusid | 유재근(23032759600) | * |
dc.date.modifydate | 20240130113500 | * |