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bundles / scipy 1.18.0 / 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