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浏览/检索结果: 共5条，第1-5条 帮助 已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 On V-orthogonal projectors associated with a semi-norm 期刊论文 ANNALS OF THE INSTITUTE OF STATISTICAL MATHEMATICS, 2009, 卷号: 61, 期号: 2, 页码: 517-530 作者:  Tian, Yongge;  Takane, Yoshio 收藏  |  浏览/下载：3/0  |  提交时间：2019/08/22 General linear model  Weighted least-squares estimator  V-orthogonal projector  Moore-Penrose inverses of matrices  Rank formulas for partitioned matrix   Some properties of projectors associated with the WLSE under a general linear model 期刊论文 JOURNAL OF MULTIVARIATE ANALYSIS, 2008, 卷号: 99, 期号: 6, 页码: 1070-1082 作者:  Tian, Yongge;  Takane, Yoshio 收藏  |  浏览/下载：9/0  |  提交时间：2019/08/22 general linear model  weighted least-squares estimator  projectors  generalized inverses of matrices  rank formulas for partitioned matrix  elementary block matrix operations (EBMOs)   On sum decompositions of weighted least-squares estimators for the partitioned linear model 期刊论文 COMMUNICATIONS IN STATISTICS-THEORY AND METHODS, 2008, 卷号: 37, 期号: 1, 页码: 55-69 作者:  Tian, Yongge;  Takane, Yoshio 收藏  |  浏览/下载：3/0  |  提交时间：2019/08/22 matrix rank method  Moore-Penrose inverse  partitioned linear model  projector  small models  sum decompositions  WLSE   On constrained generalized inverses of matrices and their properties 期刊论文 ANNALS OF THE INSTITUTE OF STATISTICAL MATHEMATICS, 2007, 卷号: 59, 期号: 4, 页码: 807-820 作者:  Takane, Yoshio;  Tian, Yongge;  Yanai, Haruo 收藏  |  浏览/下载：1/0  |  提交时间：2019/08/22 linear matrix expression  moore-Penrose inverse  constrained generalized inverses  matrix equation  projector  idempotent matrix  rank equalities  general linear model  weighted least-squares estimator   Some algebraic and statistical properties of wlses under a general growth curve model 期刊论文 ELECTRONIC JOURNAL OF LINEAR ALGEBRA, 2007, 卷号: 16, 页码: 187-203 作者:  Tian, Yongge;  Takane, Yoshio 收藏  |  浏览/下载：6/0  |  提交时间：2019/08/22 growth curve model  moore-penrose inverse of matrix  rank formulas for matrices  parameter matrix  WLSE  extremal rank  uniqueness  unbiasedness