ScholarGate
دستیار

مقایسهٔ روش‌ها

روش‌های انتخابی خود را کنار هم مرور کنید؛ ردیف‌های متفاوت برجسته شده‌اند.

آزمون نیکویی برازش اندرسون-دارلینگ×آزمون فِلِینِر-کیلین برای همگنی واریانس‌ها×
حوزهآمارآمار
خانوادهRegression modelRegression model
سال پیدایش19521976
پدیدآورAnderson & Darling (1952); EDF tables by Stephens (1974)Michael A. Fligner & Timothy J. Killeen
نوعEmpirical distribution function (EDF) goodness-of-fit testRank-based test for homogeneity of variances
منبع بنیادینAnderson, 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 ↗
نام‌های دیگرAnderson-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
مرتبط55
خلاصهThe 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.
ScholarGateمجموعه‌داده
  1. v1
  2. 2 منابع
  3. PUBLISHED
  1. v1
  2. 2 منابع
  3. PUBLISHED

رفتن به جست‌وجو دریافت اسلایدها

ScholarGateمقایسهٔ روش‌ها: Anderson-Darling Test · Fligner-Killeen Test. بازیابی‌شده در 2026-06-19 از https://scholargate.app/fa/compare