class_docstr: One Sample Goodness of Fit tests
  
  includes Kolmogorov-Smirnov D, D+, D-, Kuiper V, Cramer-von Mises W^2, U^2 and
  Anderson-Darling A, A^2. The p-values for all tests except for A^2 are based on
  the approximatiom given in Stephens 1970. A^2 has currently no p-values. For
  the Kolmogorov-Smirnov test the tests as given in scipy.stats are also available
  as options.
  
  
  
  
  design: I might want to retest with different distributions, to calculate
  data summary statistics only once, or add separate class that holds
  summary statistics and data (sounds good).
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docstr: Kuiper
docstr_tok: ["Kuiper"]
code: def v(self):
      """Kuiper"""
      return self.d_plus + self.d_minus
  
imports: from statsmodels.compat.python import lmap
  import numpy
  from scipy.stats import distributions
  from statsmodels.tools.decorators import cache_readonly
  from scipy.special import kolmogorov
label_desc: Use image node_id 5 for calling the GOF obj's underlying member method code with example usage: obj.v() and returns: unknown