Parameter Estimation in Linear Models

  • Karl-Rudolf Koch


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.


Covariance Matrix Unknown Parameter Normal Equation Unbiased Estimator Gaussian Elimination 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 1999

Authors and Affiliations

  • Karl-Rudolf Koch
    • 1
  1. 1.Institute of Theoretical Geodesy of the University of BonnBonnGermany

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