Methoden vergelijken
Bekijk de geselecteerde methoden naast elkaar; rijen die verschillen zijn gemarkeerd.
| Tweezijdige Kolmogorov-Smirnov-test× | Levene- en Brown-Forsythe-test voor gelijkheid van varianties× | |
|---|---|---|
| Vakgebied | Statistiek | Statistiek |
| Familie | Regression model | Regression model |
| Jaar van ontstaan≠ | 1948 | 1960 |
| Grondlegger≠ | N. V. Smirnov | Howard Levene; Morton B. Brown and Alan B. Forsythe |
| Type≠ | Nonparametric two-sample distribution test | Homogeneity of variance test (robust) |
| Oorspronkelijke bron≠ | Smirnov, N. V. (1948). Table for Estimating the Goodness of Fit of Empirical Distributions. Annals of Mathematical Statistics, 19(2), 279-281. DOI ↗ | Levene, H. (1960). Robust Tests for Equality of Variances. In Contributions to Probability and Statistics: Essays in Honor of Harold Hotelling. Stanford University Press. link ↗ |
| Aliassen≠ | KS two-sample test, two-sample KS test, İki Örneklem Kolmogorov-Smirnov Testi | Levene test, Brown-Forsythe test, homogeneity of variance test, Levene ve Brown-Forsythe Varyans Testi |
| Verwant≠ | 3 | 5 |
| Samenvatting≠ | The two-sample Kolmogorov-Smirnov test is a nonparametric procedure that asks whether two independent groups are drawn from the same continuous distribution. Building on Smirnov's 1948 tables, it compares the empirical cumulative distribution functions (CDFs) of the two samples and uses their maximum absolute distance as the test statistic. | The Levene and Brown-Forsythe test checks whether two or more groups share the same variance (homogeneity of variance). Levene (1960) built the test on absolute deviations from each group mean, and Brown and Forsythe (1974) made it robust to non-normal data by centring on the group median instead. |
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