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.
Deprecated since version 2.0.0:
scipy.stats.mstats.mquantiles_cimjis deprecated as of SciPy 2.0.0 and will be removed, along with thescipy.stats.mstatsnamespace, in SciPy 2.4.0. SciPy offers no replacement for this function.- 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.