Consistent estimation for an errors-in-variables model based on constrained total least squares problems
Author:
Affiliation:
1. Faculty of Computer and Information Sciences, Hosei University
Publisher
The Japan Society for Industrial and Applied Mathematics
Subject
General Engineering
Link
https://www.jstage.jst.go.jp/article/jsiaml/14/0/14_111/_pdf
Reference8 articles.
1. 1) G. H. Golub and C. F. Van Loan, An analysis of the total least squares problem, SIAM J. Numer. Anal., 17 (1980), 883-893.
2. 2) L. J. Gleser, Estimation in a multivariate ``errors in variables'' regression model: large sample results, Ann. Statist., 9 (1981), 24-44.
3. 3) G. H. Golub, A. Hoffman and G. W. Stewart, A generalization of the Eckart-Young-Mirsky matrix approximation theorem, Linear Algebra Appl., 88/89 (1987), 317-327.
4. 4) J. W. Demmel, The smallest perturbation of a submatrix which lowers the rank and constrained total least squares problems, SIAM J. Numer. Anal., 24 (1987), 199-206.
5. 5) S. Van Huffel and H. Zha, The restricted total least squares problem: formulation, algorithm, and properties, SIAM J. Matrix Anal. Appl., 12 (1991), 292-309.
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