Robust Locally Weighted Regression and Smoothing Scatterplots

@article{Cleveland1979RobustLW,
  title={Robust Locally Weighted Regression and Smoothing Scatterplots},
  author={W. S. Cleveland},
  journal={Journal of the American Statistical Association},
  year={1979},
  volume={74},
  pages={829-836}
}
  • W. S. Cleveland
  • Published 1979
  • Mathematics
  • Journal of the American Statistical Association
  • Abstract The visual information on a scatterplot can be greatly enhanced, with little additional cost, by computing and plotting smoothed points. Robust locally weighted regression is a method for smoothing a scatterplot, (x i , y i ), i = 1, …, n, in which the fitted value at z k is the value of a polynomial fit to the data using weighted least squares, where the weight for (x i , y i ) is large if x i is close to x k and small if it is not. A robust fitting procedure is used that guards… CONTINUE READING
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