robust.norms.TrimmedMean()

statsmodels.robust.norms.TrimmedMean

class statsmodels.robust.norms.TrimmedMean(c=2.0) [source]

Trimmed mean function for M-estimation.

Parameters:	c : float, optional The tuning constant for Ramsay?s Ea function. The default value is 2.0.

See also

statsmodels.robust.norms.RobustNorm

Methods

psi(z)	The psi function for least trimmed mean
psi_deriv(z)	The derivative of least trimmed mean psi function
rho(z)	The robust criterion function for least trimmed mean.
weights(z)	Least trimmed mean weighting function for the IRLS algorithm