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Anderson-Darling Test/Evidence
Method evidence record

Anderson-Darling Test

The 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.

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Source record

Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.

Anderson-Darling Normality (Goodness-of-Fit) Test
Taxonomic method record · regression-model / statistics
  • 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
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Related methods

Generated from the method graph and shown as machine-suggested relations — no evidence claim is inferred.

Same method familyFligner-Killeen Testmachine-suggested · Relational suggestion, not evidence.Same method familyLilliefors Testmachine-suggested · Relational suggestion, not evidence.Same method familyMood's Median Testmachine-suggested · Relational suggestion, not evidence.Used in the same domainShapiro-Wilk testmachine-suggested · Relational suggestion, not evidence.Same method familyTwo-Sample Kolmogorov-Smirnov Testmachine-suggested · Relational suggestion, not evidence.

Evidence status

Sources recorded, not reviewed

Bibliographic sources are present. Claim-level evidence review has not been performed.

Sources

2 recorded citations, copied from the method source record.

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