The Fourth Problem of Probabilistic Regression

Chapter
First Online:

Abstract

The random effect model as a special Gauss-Markov model with random effects is an extension of the classical Gauss-Markov model: both effect, namely the vector y of observations as well as the vector of the regressor z (derived from the German “Zufall”) are random. Box 1 is a review of the model.

Keywords

Random Effect Markov Model Prediction Error Random Effect Model Normal Equation 
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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© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  1. 1.Geodetic InstituteUniversity of StuttgartStuttgartGermany
  2. 2.Environment and Earth SciencesMaseno UniversityMasenoKenya
  3. 3.Curtin UniversityPerthAustralia
  4. 4.Karlsruhe Institute of TechnologyKarlsruheGermany
  5. 5.Kyoto UniversityKyotoJapan

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