Introduction: Why Mixed Models?

  1. Eugene Demidenko

Published Online: 28 JAN 2005

DOI: 10.1002/0471728438.ch1

Mixed Models: Theory and Applications

Mixed Models: Theory and Applications

How to Cite

Demidenko, E. (2004) Introduction: Why Mixed Models?, in Mixed Models: Theory and Applications, John Wiley & Sons, Inc., Hoboken, NJ, USA. doi: 10.1002/0471728438.ch1

Publication History

  1. Published Online: 28 JAN 2005
  2. Published Print: 28 JUL 2004

ISBN Information

Print ISBN: 9780471601616

Online ISBN: 9780471728436

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Keywords:

  • mixed models;
  • Tokhonov regression;
  • clustered data;
  • variance;
  • statistical analysis

Summary

This chapter includes the following topics:

  • Mixed Effects for Clustered Data

  • ANOVA Variance Components and the Mixed Model

  • Other Special Cases of the Mixed Effects Model

  • A Compromise between Bayesian and Frequentist Approaches

  • Penalized Likelihood and Mixed Effects

  • Healthy Akaike Information Criterion

  • Penalized Smoothing

  • Penalized Polynomial Fitting

  • Restraining Parameters, or what to Eat

  • Ill-posed Problems, Tikhonov Regularization and Mixed Effects

  • Computerized Tomography and Linear Image Reconstruction

  • GLMM for PET

  • Maple Shape Leaf Analysis

  • DNA Western Blot Analysis

  • Where Does the Wind Blow?

  • Commercial Software and Books

  • Summary Points