statsmodels.robust.norms.HuberT.weights#

HuberT.weights(z)[source]#

Huber’s t weighting function for the IRLS algorithm

The psi function scaled by z.

Parameters:
zarray_like

1d array

Returns:
weightsndarray

The value of the weighting function.

\[\begin{split}\text{weights}(z) = \begin{cases} 1 & \text{if } \lvert z \rvert \le t \\ \frac{t}{\lvert z \rvert} & \text{if } \lvert z \rvert > t \end{cases}\end{split}\]