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