code: def edf_normal_inverse_transformed(
      x, alpha=3.0 / 8, beta=3.0 / 8, axis=0
  ):
      """rank based normal inverse transformed cdf"""
      from scipy import stats
  
      ranks = plotting_positions(
          x, alpha=alpha, beta=alpha, axis=0, masknan=False
      )
      ranks_transf = stats.norm.ppf(ranks)
      return ranks_transf
  
file_path: statsmodels/statsmodels/sandbox/stats/stats_mstats_short.py
imports: import numpy
  from numpy import ma
  from scipy import stats
label_desc: Use image node_id 5 for calling a global function with example usage: edf_normal_inverse_transformed(x, alpha, beta, axis) and returns: ranks_transf