Login Register

AndrewWave.rho()

statsmodels.robust.norms.AndrewWave.rho

AndrewWave.rho(z) [source]

The robust criterion function for Andrew?s wave.

Parameters:

z : array-like

1d array

Returns:

rho : array

rho(z) = a*(1-cos(z/a)) for |z| <= a*pi

rho(z) = 2*a for |z| > a*pi

Links:

http://statsmodels.sourceforge.net/stable/generated/statsmodels.robust.norms.AndrewWave.rho.html

doc_statsmodels

2017-01-18 16:06:29

Comments

Leave a Comment

Please login to continue.

Popular Articles

TukeyBiweight.rho() statsmodels.robust.norms.TukeyBiweight.rho TukeyBiweight.rho(z) [source] The robust criterion function for Tukey?s biweight estimator Parameters:

RobustNorm.rho() statsmodels.robust.norms.RobustNorm.rho RobustNorm.rho(z) [source] The robust criterion estimator function. Abstract method: -2 loglike used in M-

HuberT.rho() statsmodels.robust.norms.HuberT.rho HuberT.rho(z) [source] The robust criterion function for Huber?s t. Parameters: z : array-like 1d array Re

AndrewWave.weights() statsmodels.robust.norms.AndrewWave.weights AndrewWave.weights(z) [source] Andrew?s wave weighting function for the IRLS algorithm The psi functio

TrimmedMean.rho() statsmodels.robust.norms.TrimmedMean.rho TrimmedMean.rho(z) [source] The robust criterion function for least trimmed mean. Parameters: z : array-