방법 비교
선택한 방법을 나란히 검토하세요. 서로 다른 행은 강조 표시됩니다.
| 브루너-문젤 검정(Brunner-Munzel Test)× | 무드 중앙값 검정× | |
|---|---|---|
| 분야 | 통계학 | 통계학 |
| 계열≠ | Hypothesis test | Regression model |
| 기원 연도≠ | 2000 | 1954 |
| 창시자≠ | Edgar Brunner & Ullrich Munzel | A. M. Mood |
| 유형≠ | Nonparametric two-sample comparison | Nonparametric median comparison |
| 원전≠ | Brunner, E. & Munzel, U. (2000). The Nonparametric Behrens-Fisher Problem: Asymptotic Theory and a Small-Sample Approximation. Biometrical Journal, 42(1), 17–25. DOI ↗ | Mood, A. M. (1954). On the Asymptotic Efficiency of Certain Nonparametric Two-Sample Tests. Annals of Mathematical Statistics, 25(3), 514-522. DOI ↗ |
| 별칭≠ | Brunner-Munzel Testi, generalized Wilcoxon test, nonparametric Behrens-Fisher test, probabilistic index test | median test, Brown-Mood median test, Mood Medyan Testi |
| 관련≠ | 6 | 3 |
| 요약≠ | The Brunner-Munzel test is a nonparametric two-sample hypothesis test that estimates the probabilistic superiority index P(X < Y) — the probability that a randomly selected observation from one group exceeds a randomly selected observation from the other. Introduced by Brunner and Munzel in 2000 as a solution to the nonparametric Behrens-Fisher problem, it remains valid even when the two groups have unequal variances or differently shaped distributions, making it a robust alternative to the Mann-Whitney U test in heteroscedastic settings. | Mood's median test is a nonparametric procedure that compares the medians of k independent groups by counting how many observations in each group fall above and below the pooled (grand) median, then applying a chi-square test to the resulting 2×k contingency table. It traces to A. M. Mood's 1954 work on nonparametric two-sample tests. |
| ScholarGate데이터셋 ↗ |
|
|