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Test dobrej zhody Andersona-Darlinga pre normalitu×Fligner-Killeenov test homogenity rozptylov×
OdborŠtatistikaŠtatistika
RodinaRegression modelRegression model
Rok vzniku19521976
TvorcaAnderson & Darling (1952); EDF tables by Stephens (1974)Michael A. Fligner & Timothy J. Killeen
TypEmpirical distribution function (EDF) goodness-of-fit testRank-based test for homogeneity of variances
Pôvodný zdrojAnderson, T. W., & Darling, D. A. (1952). Asymptotic Theory of Certain 'Goodness of Fit' Criteria Based on Stochastic Processes. The Annals of Mathematical Statistics, 23(2), 193-212. DOI ↗Fligner, M. A., & Killeen, T. J. (1976). Distribution-Free Two-Sample Tests for Scale. Journal of the American Statistical Association, 71(353), 210-213. DOI ↗
Ďalšie názvyAnderson-Darling Normallik Testi, A-squared test, AD test, Anderson-Darling goodness-of-fit testFligner-Killeen test of variance homogeneity, rank-based variance homogeneity test, Fligner-Killeen Varyans Homojenliği Testi
Príbuzné55
ZhrnutieThe Anderson-Darling test is an empirical distribution function (EDF) goodness-of-fit test, introduced by Anderson and Darling in 1952, that checks whether a continuous sample comes from a specified distribution such as the normal, exponential, or Weibull. By weighting deviations more heavily in the tails, it detects departures in the distribution's extremes more powerfully than the Kolmogorov-Smirnov test.The Fligner-Killeen test is a rank-based test that checks whether several independent groups share the same variance (scale). Introduced by Fligner and Killeen in 1976, it does not require the data to be normally distributed, making it a robust nonparametric alternative to the Levene and Bartlett tests.
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ScholarGatePorovnať metódy: Anderson-Darling Test · Fligner-Killeen Test. Získané 2026-06-20 z https://scholargate.app/sk/compare