code: def mnc2mvsk(args):
      """convert central moments to mean, variance, skew, kurtosis"""
      X = _convert_to_multidim(args)
  
      def _local_counts(args):
          # convert four non-central moments to central moments
          mnc, mnc2, mnc3, mnc4 = args
          mc = mnc
          mc2 = mnc2 - mnc * mnc
          mc3 = mnc3 - (3 * mc * mc2 + mc**3)  # 3rd central moment
          mc4 = mnc4 - (4 * mc * mc3 + 6 * mc * mc * mc2 + mc**4)
          return mc2mvsk((mc, mc2, mc3, mc4))
  
      res = np.apply_along_axis(_local_counts, 0, X)
      # for backward compatibility convert 1-dim output to list/tuple
      return _convert_from_multidim(res, tuple)
  
file_path: statsmodels/statsmodels/stats/moment_helpers.py
imports: import numpy
  from scipy.special import comb
label_desc: Use image node_id 11 for calling a global function with example usage: mnc2mvsk(args) and returns: _convert_from_multidim, mc2mvsk