7.00.02 - Distribution Matching - Aster Analytics

Teradata Aster® Analytics Foundation User GuideUpdate 2

Aster Analytics
Release Number
September 2017
Content Type
Programming Reference
User Guide
Publication ID
English (United States)
Last Update

Given sample data and reference distributions, the function tests the hypothesis that the sample data comes from the distributions (Hypothesis-Test Mode). Given the test results, the function finds the distribution that best matches the sample data (Best-Match Mode).

The Distribution Matching function is composed of the functions DistnmatchReduce and DistnmatchMultipleInput. DistnmatchReduce supports these distributions:

  • For continuous variables:
    • Beta
    • Cauchy
    • ChiSq
    • Exponential
    • F
    • Gamma
    • Lognormal
    • Normal
    • T
    • Triangular
    • Uniform
    • Weibull
  • For discrete variables:
    • Binomial
    • Geometric
    • Negative binomial
    • Poisson
    • Uniform

For evaluating the fit of the distribution to the data, the function supports these tests:

  • Anderson-Darling test
  • Kolmogorov-Smirnov test
  • Cramér-von Mises criterion (hypothesis testing only)
  • Pearson’s Chi-squared test