Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 신동완 | * |
dc.date.accessioned | 2016-08-28T11:08:23Z | - |
dc.date.available | 2016-08-28T11:08:23Z | - |
dc.date.issued | 2000 | * |
dc.identifier.issn | 0167-7152 | * |
dc.identifier.other | OAK-367 | * |
dc.identifier.uri | https://dspace.ewha.ac.kr/handle/2015.oak/218606 | - |
dc.description.abstract | For polynomial regression models with spatially correlated errors, the covariance matrix of the ordinary least-squares estimator (OLSE) is shown to have the same limiting value as that of the generalized least-squares estimator (GLSE) under the same normalization. This implies that the OLSE is asymptotically efficient. © 2000 Elsevier Science B.V. | * |
dc.language | English | * |
dc.title | Asymptotic efficiency of the OLSE for polynomial regression models with spatially correlated errors | * |
dc.type | Article | * |
dc.relation.issue | 1 | * |
dc.relation.volume | 47 | * |
dc.relation.index | SCIE | * |
dc.relation.index | SCOPUS | * |
dc.relation.startpage | 1 | * |
dc.relation.lastpage | 10 | * |
dc.relation.journaltitle | Statistics and Probability Letters | * |
dc.identifier.wosid | WOS:000085184000001 | * |
dc.identifier.scopusid | 2-s2.0-0002478823 | * |
dc.author.google | Shin D.W. | * |
dc.author.google | Song S.H. | * |
dc.contributor.scopusid | 신동완(7403352539) | * |
dc.date.modifydate | 20240116115756 | * |