Arguments - Aster Analytics

Teradata Aster Analytics Foundation User Guide

Product
Aster Analytics
Release Number
6.21
Published
November 2016
Language
English (United States)
Last Update
2018-04-14
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kiu1466024880662.ditamap
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AA-notempfilter_pdf_output.ditaval
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B700-1021
lifecycle
previous
Product Category
Software
Argument Category Description
ValueColumn Required Specifies the name of the input table column that contains the values of the sample data set.
Tests Optional Specifies one to four tests to perform. A test can be:
  • 'KS' (Kolmogorov-Smirnov test)
  • 'CvM' (Cramér-von Mises criterion)
  • 'AD' (Anderson-Darling test)
  • 'CHISQ' (Pearson's Chi-squared test)

By default, the function runs all of the preceding tests.

Distributions Required Specifies the reference distributions and their parameters. All distributions must be continuous or all must be discrete. The possible distribution and parameters values for continuous distributions are in the following table. The possible distribution and parameters values for continuous distributions are in the second of the two following tables.
For discrete distributions:
  • BINOMIAL, GEOMETRIC, NEGATIVEBINOMIAL, and POISSON distributions are on N={0,1,2,...}.
  • UNIFORMDISCRETE distribution is on events, which are represented by integers.
GroupByColumns Optional Specifies the names of the input table columns that contain the group identifications over which to run the test. The function can run multiple tests for different partitions of the data in parallel. If you omit this argument, then specify PARTITION BY 1 and omit the GROUP BY clause in the second ON clause.
MinGroupSize Optional Specifies the minimum group size. The function ignores groups smaller than the minimum size when calculating statistics. The default value is 50.
NumCell Optional Specifies the number of cells that you want to make discrete in a continuous distribution. The cell_size must be greater than 3 if distribution is NORMAL; otherwise, it must be greater than 1. The quotient min_group_size/cell_size cannot be less than 5. The default value is 10.
Continuous Distributions and Parameters
distribution:parameters parameter Descriptions
BETA:α,β α > 0 is the first shape parameter.

β > 0 is the second shape parameter.

CAUCHY:x,θ x, a DOUBLE PRECISION value, is the median parameter.

θ > 0 is the scale parameter.

CHISQ:k k, a positive INTEGER, is the degree of freedom.
EXPONENTIAL:θ θ > 0 is the mean parameter, which is the inverse rate.
F:d1,d2 d1 > 0 and d2 > 0 are degrees of freedom.
GAMMA:k,θ k > 0 is the shape parameter.

θ > 0 is the scale parameter.

LOGNORMAL:μ,σ μ, a DOUBLE PRECISION value, is the mean.

σ > 0 is the standard deviation.

NORMAL:μ,σ μ, a DOUBLE PRECISION value, is the mean.

σ > 0 is the standard deviation.

T:k k, a positive INTEGER, is the degree of freedom.
TRIANGULAR:a,c,b a <= c <= b && a < b, where a is the lower limit of this distribution (inclusive), b is the upper limit of this distribution (inclusive), and c is the mode of this distribution.
UNIFORMCONTINUOUS:a,b a < b, where a is the lower bound of this distribution (inclusive) and b is the upper bound of this distribution (exclusive).
WEIBULL:α,β α > 0 is the shape parameter.

β > 0 is the scale parameter.

The function uses the two-parameter form of the distribution defined by the Weibull Distribution, http://mathworld.wolfram.com/WeibullDistribution.html, equations (1) and (2).

Discrete Distributions and Parameters
distribution:parameters parameter Descriptions
BINOMIAL:n,p n, a positive INTEGER, is the number of trials.

p, in [0,1], is the success probability in each trial.

GEOMETRIC:p p, in [0,1], is the success probability in each trial.
NEGATIVEBINOMIAL:r,p r, a positive INTEGER, is the number of successes until the function stops the tests.

p, in [0,1], is the success probability in each trial.

The function represents the distribution of the number of failures before r successes occur.

POISSON:λ λ > 0 is the rate parameter.
UNIFORMDISCRETE:a,b a < b, where a is the lower bound of this distribution (inclusive) and b is the upper bound of this distribution (exclusive). Both a and b are INTEGER values.