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

datandarray

Data array.

probsequence, optional

Sequence of quantiles to compute.

alphafloat, optional

Confidence level of the intervals.

axisint or None, optional

Axis along which to compute the quantiles. If None, use a flattened array.

Returns

ci_lowerndarray

The lower boundaries of the confidence interval. Of the same length as prob.

ci_upperndarray

The upper boundaries of the confidence interval. Of the same length as prob.