Mixed Models and Variance Components

  • Ronald Christensen
Part of the Springer Texts in Statistics book series (STS)


Traditionally, linear models have been divided into three categories: fixed effects models, random effects models, and mixed models. The categorization depends on whether the β vector in Y = Xβ + e is fixed, random, or has both fixed and random elements. Random effects models always assume that there is a fixed overall mean for observations, so random effects models are actually mixed.


Variance Component Variance Component Estimation Good Linear Unbiased Predictor Generalize Likelihood Ratio Test Linear Unbiased Prediction 


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Copyright information

© Springer Science+Business Media New York 1987

Authors and Affiliations

  • Ronald Christensen
    • 1
  1. 1.Department of Mathematical SciencesMontana State UniversityBozemanUSA

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