Kolmogorov–Smirnov test

GPTKB entity

Statements (46)
Predicate Object
gptkbp:instanceOf statistical test
gptkbp:appliesTo continuous data
discrete data
gptkbp:canLeadTo normal distribution
binomial distribution
uniform distribution
exponential distribution
gptkbp:claims independence of samples
gptkbp:developedBy gptkb:Andrey_Kolmogorov
gptkb:Nikolai_Smirnov
https://www.w3.org/2000/01/rdf-schema#label Kolmogorov–Smirnov test
gptkbp:isBasedOn maximum distance between empirical distributions
gptkbp:isConsidered a robust test
gptkbp:isLocatedIn MATLAB
Python programming language
R programming language
gptkbp:isNamedAfter gptkb:Andrey_Kolmogorov
gptkb:Nikolai_Smirnov
gptkbp:isPartOf nonparametric statistics
gptkbp:isRelatedTo true
statistical inference
t-test
empirical distribution function
cumulative distribution function
Chi-squared_test
Mann-Whitney_U_test
gptkbp:isStudiedIn sample size
distribution shape
gptkbp:isUsedBy assess fit of data
validate models
gptkbp:isUsedFor detect differences between distributions
one-sample test
two-sample test
gptkbp:isUsedIn data analysis
finance
machine learning
clinical trials
environmental studies
quality control
hypothesis testing
social_sciences
gptkbp:respondsTo p-value
D statistic
gptkbp:usedFor comparing two probability distributions
testing the goodness of fit
gptkbp:wasAffecting 1933