Abstract
The linear models for estimating parameters are so composed that the expected values of the observations, which are carried out for the estimation of the parameters and which represent random variables, are expressed as linear functions of the unknown parameters. The coefficients of the linear functions are assumed to be known. The estimation of parameters in linear models therefore means essentially the estimation of the expected values of the observations.
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© 1999 Springer-Verlag Berlin Heidelberg
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Koch, KR. (1999). Parameter Estimation in Linear Models. In: Parameter Estimation and Hypothesis Testing in Linear Models. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-03976-2_4
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DOI: https://doi.org/10.1007/978-3-662-03976-2_4
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-08461-4
Online ISBN: 978-3-662-03976-2
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