Results (statistics and p-values) - Teradata Vantage

Machine Learning Engine Analytic Function Reference

Product
Teradata Vantage
Release Number
9.02
9.01
2.0
1.3
Published
February 2022
Language
English (United States)
Last Update
2022-02-10
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B700-4003
lifecycle
previous
Product Category
Teradata Vantageā„¢
The results use these R packages:
Distribution Continuous Distributions Discrete Distributions
Normal Function computes p-values from the modified statistics, as implemented in the R package nortest. Not applicable
KS Function computes p-values using approximation to the Kolmogorov-Smirnov distribution (assuming large sample size). Results are comparable to the ks.test() from the stats package in R. Results are comparable to the ks.test() from the R package dgof, when reference distribution is a 'stepfun' object.
CvM Function computes results as in the R package nortest. Statistics are comparable to the cvm.test() from the R package dgof, when reference distribution is a 'stepfun' object. P-values are not calculated.
AD Function computes results comparable to those of ad.test() from the R package ADGofTest. Results are comparable to the ad.test() from the R package ADGofTest.
CHISQ Function computes statistics comparable to those of pearson.test() from the R package nortest, with a minor modification when data falls beyond the upper limit of distribution support. The function computes p-values using DOF = cell_size - 1. Statistics are comparable to pearson.test() from the R package nortest, with a minor modification when data falls beyond the upper limit of distribution support. The function computes p-values using DOF = cell_size - 1.