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Linear Mixed-Effects Models Using R

- A Step-by-Step Approach

Bag om Linear Mixed-Effects Models Using R

Linear mixed-effects models (LMMs) are an important class of statistical models that can be used to analyze correlated data. It is built up incrementally, starting with a summary of the concepts underlying simpler classes of linear models like the classical regression model, and carrying them forward to LMMs.

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  • Sprog:
  • Engelsk
  • ISBN:
  • 9781461438991
  • Indbinding:
  • Hardback
  • Sideantal:
  • 542
  • Udgivet:
  • 5. februar 2013
  • Udgave:
  • 2013
  • Størrelse:
  • 234x160x37 mm.
  • Vægt:
  • 1016 g.
  • BLACK NOVEMBER
  Gratis fragt
Leveringstid: 8-11 hverdage
Forventet levering: 20. november 2024

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Linear mixed-effects models (LMMs) are an important class of statistical models that can be used to analyze correlated data. It is built up incrementally, starting with a summary of the concepts underlying simpler classes of linear models like the classical regression model, and carrying them forward to LMMs.

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