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# scikits.statsmodels.robust.norms.HuberT

class `scikits.statsmodels.robust.norms.``HuberT`(t=1.345)

  Huber’s T for M estimation.

  Parameters: | t : float, optional The tuning constant for Huber’s t function. The default value is 1.345.

  See also

  `scikits.statsmodels.robust.norms.RobustNorm`

  Methods

  `psi`(z) | The psi function for Huber’s t estimator
  `psi_deriv`(z) | The derivative of Huber’s t psi function
  `rho`(z) | The robust criterion function for Huber’s t.
  `weights`(z) | Huber’s t weighting function for the IRLS algorithm

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