文章基本信息

标题：Bibliography on total least squares and related methods
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作者：Ivan Markovsky
期刊名称：Statistics and Its Interface
印刷版ISSN：1938-7989
电子版ISSN：1938-7997
出版年度：2010
卷号：3
期号：3
页码：329-334
DOI：10.4310/SII.2010.v3.n3.a6
出版社：International Press
摘要：The class of total least squares methods has been growing since the basic total least squares method was proposed by Golub and Van Loan in the 70’s. Efficient and robust computational algorithms were developed and properties of the resulting estimators were established in the errors-in-variables setting. At the same time the developed methods were applied in diverse areas, leading to broad literature on the subject. This paper collects the main references and guides the reader in finding details about the total least squares methods and their applications. In addition, the paper comments on similarities and differences between the total least squares and the singular spectrum analysis methods.
关键词：total least squares; errors-invariables; singular spectrum analysis; applications