bundles / scipy latest / scipy / stats / _mstats_extras / mquantiles_cimj

function

`scipy.stats._mstats_extras:mquantiles_cimj`

source: /scipy/stats/_mstats_extras.py :309

Signature

   def     mquantiles_cimj (    data    ,    prob    =  (0.25, 0.5, 0.75)   ,    alpha    =  0.05   ,    axis    =  None     )

Summary

Computes the alpha confidence interval for the selected quantiles of the data, with Maritz-Jarrett estimators.

Parameters

data : ndarray: Data array.
prob : sequence, optional: Sequence of quantiles to compute.
alpha : float, optional: Confidence level of the intervals.
axis : int or None, optional: Axis along which to compute the quantiles. If None, use a flattened array.

Returns

ci_lower : ndarray: The lower boundaries of the confidence interval. Of the same length as prob.
ci_upper : ndarray: The upper boundaries of the confidence interval. Of the same length as prob.

Aliases

scipy.stats._mstats_extras.mquantiles_cimj