scipy.stats.mstats.mquantiles_cimj

scipy.stats.mstats.mquantiles_cimj(data, prob=[0.25, 0.5, 0.75], alpha=0.05, axis=None)

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.