Least squares in identification theory
Vladimír Strejc (1977)
Kybernetika
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Vladimír Strejc (1977)
Kybernetika
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Robert J. Plemmons (1975)
Czechoslovak Mathematical Journal
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Gerhard Zielke (1984)
Banach Center Publications
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István Fazekas, Alexander G. Kukush (2005)
Discussiones Mathematicae Probability and Statistics
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A linear geostatistical model is considered. Properties of a universal kriging are studied when the locations of observations aremeasured with errors. Alternative prediction procedures are introduced and their least squares errors are analyzed.
Joǎo Lita da Silva (2009)
Discussiones Mathematicae Probability and Statistics
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The strong consistency of least squares estimates in multiples regression models with i.i.d. errors is obtained under assumptions on the design matrix and moment restrictions on the errors.
Ham, Frederic M., Kostanic, Ivica (1996)
Mathematical Problems in Engineering
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Gene Howard Golub (1965)
Aplikace matematiky
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Ikramov, Kh.D., Matin Far, M. (2004)
Zapiski Nauchnykh Seminarov POMI
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Yongge Tian, Bo Jiang (2016)
Special Matrices
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Least-Squares Solution (LSS) of a linear matrix equation and Ordinary Least-Squares Estimator (OLSE) of unknown parameters in a general linear model are two standard algebraical methods in computational mathematics and regression analysis. Assume that a symmetric quadratic matrix-valued function Φ(Z) = Q − ZPZ0 is given, where Z is taken as the LSS of the linear matrix equation AZ = B. In this paper, we establish a group of formulas for calculating maximum and minimum ranks and inertias...