Robust nonlinear data smoothers: Definitions and recommendations.

@article{Velleman1977RobustND,
  title={Robust nonlinear data smoothers: Definitions and recommendations.},
  author={Paul Velleman},
  journal={Proceedings of the National Academy of Sciences of the United States of America},
  year={1977},
  volume={74 2},
  pages={434-6}
}
  • Paul Velleman
  • Published 1977 in
    Proceedings of the National Academy of Sciences…
Nonlinear data smoothers provide a practical method of finding smooth traces for data confounded with possibly long-tailed or occasionally "spikey" noise. While they are natural tools for analyzing time-series data, they can be applied to any data set for which a sequencing order can be established. Their resistance to the effects of unsupported extreme observations and their ability to respond rapidly to well-supported patterns make them valuable as tools for finding patterns not constrained… CONTINUE READING

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