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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.