1.1 - 8.10 - Results (statistics and p-values) - Teradata Vantage

Teradata Vantage™ - Machine Learning Engine Analytic Function Reference

Product
Teradata Vantage
Release Number
1.1
8.10
Release Date
October 2019
Content Type
Programming Reference
Publication ID
B700-4003-079K
Language
English (United States)
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.