השוואת שיטות

	מבחן אנדרסון-דארלינג לנורמליות	מבחן קולמוגורוב-סמירנוב לשתי מדגמים
תחום	סטטיסטיקה	סטטיסטיקה
משפחה	Regression model	Regression model
שנת המקור	1952	1948
הוגה השיטה	Anderson & Darling (1952); EDF tables by Stephens (1974)	N. V. Smirnov
סוג	Empirical distribution function (EDF) goodness-of-fit test	Nonparametric two-sample distribution test
מקור מכונן	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.	Smirnov, N. V. (1948). Table for Estimating the Goodness of Fit of Empirical Distributions. Annals of Mathematical Statistics, 19(2), 279-281.
כינויים	Anderson-Darling Normallik Testi, A-squared test, AD test, Anderson-Darling goodness-of-fit test	KS two-sample test, two-sample KS test, İki Örneklem Kolmogorov-Smirnov Testi
קשורות	5	3
תקציר	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.	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.