7.00.02 - Distribution Matching - Aster Analytics

Teradata Aster® Analytics Foundation User GuideUpdate 2

Product
Aster Analytics
Release Number
7.00.02
Published
September 2017
Content Type
Programming Reference
User Guide
Publication ID
B700-1022-700K
Language
English (United States)
Last Update
2018-04-17

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