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Random and Mixed Effects

  • W. N. Venables
  • B. D. Ripley
Part of the Statistics and Computing book series (SCO)

Abstract

We collect together several ways to handle linear and non-linear models with random effects, possibly as well as fixed effects.

Keywords

Random Effect Mixed Effect Mixed Effect Model Data Frame Linear Mixed Effect Model 
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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References

  1. 1.
    by convention this is log height plus twice log diameter.Google Scholar
  2. 2.
    We are grateful to Professor Ludbrook for supplying us with the numerical data.Google Scholar
  3. 3.
    in library nlmedata on Unix and library nlme under Windows in the statlib versions.Google Scholar
  4. 4.
    For a later use with nlme it is essential that the parameter names given to f pl are exactly those of its definition.Google Scholar

Copyright information

© Springer Science+Business Media New York 1997

Authors and Affiliations

  • W. N. Venables
    • 1
  • B. D. Ripley
    • 2
  1. 1.Department of StatisticsUniversity of AdelaideAdelaideAustralia
  2. 2.University of OxfordOxfordEngland

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