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Shqyrtoni metodat e zgjedhura krah për krah; rreshtat që ndryshojnë janë të theksuar.

Testi Anderson-Darling për Normalitet×Testi Lilliefors për Normalitet×
FushaStatistikëStatistikë
FamiljaRegression modelRegression model
Viti i origjinës19521967
KrijuesiAnderson & Darling (1952); EDF tables by Stephens (1974)Hubert W. Lilliefors
LlojiEmpirical distribution function (EDF) goodness-of-fit testGoodness-of-fit / normality test
Burimi themeluesAnderson, 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 ↗Lilliefors, H. W. (1967). On the Kolmogorov-Smirnov Test for Normality with Mean and Variance Unknown. Journal of the American Statistical Association, 62(318), 399-402. DOI ↗
Emërtime të tjeraAnderson-Darling Normallik Testi, A-squared test, AD test, Anderson-Darling goodness-of-fit testLilliefors corrected Kolmogorov-Smirnov test, Lilliefors normality test, Lilliefors Testi
Të lidhura55
PërmbledhjaThe 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 Lilliefors test is a goodness-of-fit test that checks whether a continuous sample comes from a normal (or exponential) distribution when the mean and variance are unknown and estimated from the data. Introduced by Hubert W. Lilliefors in 1967, it adjusts the critical values of the Kolmogorov-Smirnov test so that they remain valid once the distribution's parameters are estimated rather than known in advance.
ScholarGateSeti i të dhënave
  1. v1
  2. 2 Burimet
  3. PUBLISHED
  1. v1
  2. 2 Burimet
  3. PUBLISHED

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ScholarGateKrahasoni metodat: Anderson-Darling Test · Lilliefors Test. Marrë më 2026-06-19 nga https://scholargate.app/sq/compare