Authors
S Shklyar
Publication date
2011/12
Journal
Theory of Probability and Mathematical Statistics
Volume
83
Pages
175-190
Description
A homoscedastic errors-in-variables linear regression model is considered. The total least squares estimator is studied. New conditions for the consistency and strong consistency of the total least squares estimator are proposed. These conditions are weaker than those proposed by Kukush and Van Huffel (Metrika 59 (2004), 75–97).
Total citations
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Scholar articles
S Shklyar - Theory of Probability and Mathematical Statistics, 2011
SV Shklyar - THEORY OF PROBABILITY AND MATHEMATICAL …, 2010