Locally Weighted Scatterplot Smoothing (LOWESS)ΒΆ

LOWESS algorithm smoothes the data based on locally weighted polynomial regression.

Single Steps using the Algorithm

References

  • W.S. Cleveland, LOWESS: A program for smoothing scatterplots by robust locally weighted regression, The American Statistician, vol. 35 (1), pp. 54, 1981.

  • W.S. Cleveland, Robust Locally Weighted Regression and Smoothing Scatterplots, Journal of the American Statistical Association, vol. 74 (368), pp. 829-836, 1979.

    http://www.people.fas.harvard.edu/~gov2000/Handouts/lowess.pdf

  • W.S. Cleveland, S.J. Devlin, Locally-Weighted Regression: An Approach to Regression Analysis by Local Fitting, Journal of the American Statistical Association, vol. 83 (403), pp. 596-610, 1988.

    http://www.econ.pdx.edu/faculty/KPL/readings/cleveland88.pdf