Difference between revisions of "StatsWAP2009Aug07"

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* Not covered: kernel smoothing, local weighting, moving averages, binning, loess (local estimation) etc.
 
* Not covered: kernel smoothing, local weighting, moving averages, binning, loess (local estimation) etc.
 
* Non-parametric regression -  
 
* Non-parametric regression -  
** can factor in <math>y=f(x)+</math>other stuff
+
** can factor in <math>y=f(x)+other stuff </math>
 +
** confounding effects
 +
** interactions

Revision as of 19:17, 7 August 2009

Nonlinear Regression Models

Resources

  • Slides will be available here
  • R-code will be available here

Notes

  • Not covered: kernel smoothing, local weighting, moving averages, binning, loess (local estimation) etc.
  • Non-parametric regression -
    • can factor in <math>y=f(x)+other stuff </math>
    • confounding effects
    • interactions