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# scikits.statsmodels.robust.norms.RobustNorm

class `scikits.statsmodels.robust.norms.``RobustNorm`

  The parent class for the norms used for robust regression.

  Lays out the methods expected of the robust norms to be used by scikits.statsmodels.RLM.

  Parameters: | None : : Some subclasses have optional tuning constants.

  See also

  `scikits.statsmodels.rlm`, `and`

  Notes

  Currently only M-estimators are available.

  References

  PJ Huber. ‘Robust Statistics’ John Wiley and Sons, Inc., New York, 1981.

  DC Montgomery, EA Peck. ‘Introduction to Linear Regression Analysis’,
    John Wiley and Sons, Inc., New York, 2001.
  R Venables, B Ripley. ‘Modern Applied Statistics in S’
    Springer, New York, 2002.

  Methods

  `psi`(z) | Abstract method:
  `psi_deriv`(z) | Abstract method:
  `rho`(z) | Abstract method:
  `weights`(z) | Abstract method:

  call | Returns the value of estimator rho applied to an input

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