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.