Anderson-Darling normalitetstest
Anderson-Darling-testen er en empirisk fordelingsfunktion (EDF) goodness-of-fit test, introduceret af Anderson og Darling i 1952, der kontrollerer, om en kontinuert stikprøve kommer fra en specificeret fordeling såsom den normale, eksponentielle eller Weibull. Ved at vægte afvigelser tungere i halerne, detekterer den afvigelser i fordelingens ekstremer mere kraftfuldt end Kolmogorov-Smirnov-testen.
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Kilder
- Anderson, 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: 10.1214/aoms/1177729437 ↗
- Stephens, M. A. (1974). EDF Statistics for Goodness of Fit and Some Comparisons. Journal of the American Statistical Association, 69(347), 730-737. DOI: 10.1080/01621459.1974.10480196 ↗
Sådan citerer du denne side
ScholarGate. (2026, June 1). Anderson-Darling Normality (Goodness-of-Fit) Test. ScholarGate. https://scholargate.app/da/statistics/anderson-darling-test
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Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.
- Fligner-Killeen-test for varianshomogenitetStatistik↔ compare
- Lilliefors' normalitetstestStatistik↔ compare
- Moods median-testStatistik↔ compare
- Shapiro-Wilk Normality TestStatistik↔ compare
- Two-sample Kolmogorov-Smirnov testStatistik↔ compare
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