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| Levene 및 Brown-Forsythe 등분산 검정× | Bartlett의 분산 동질성 검정× | |
|---|---|---|
| 분야 | 통계학 | 통계학 |
| 계열≠ | Regression model | Hypothesis test |
| 기원 연도≠ | 1960 | 1937 |
| 창시자≠ | Howard Levene; Morton B. Brown and Alan B. Forsythe | Maurice Stevenson Bartlett |
| 유형≠ | Homogeneity of variance test (robust) | Parametric variance homogeneity test |
| 원전≠ | Levene, H. (1960). Robust Tests for Equality of Variances. In Contributions to Probability and Statistics: Essays in Honor of Harold Hotelling. Stanford University Press. link ↗ | Bartlett, M. S. (1937). Properties of sufficiency and statistical tests. Proceedings of the Royal Society of London. Series A, 160(901), 268–282. DOI ↗ |
| 별칭 | Levene test, Brown-Forsythe test, homogeneity of variance test, Levene ve Brown-Forsythe Varyans Testi | Bartlett's Chi-Square Test, Test for Equality of Variances, Bartlett's Homogeneity Test, Varyans Homojenliği Testi |
| 관련≠ | 5 | 2 |
| 요약≠ | The Levene and Brown-Forsythe test checks whether two or more groups share the same variance (homogeneity of variance). Levene (1960) built the test on absolute deviations from each group mean, and Brown and Forsythe (1974) made it robust to non-normal data by centring on the group median instead. | Bartlett's Test is a classical parametric procedure for testing whether two or more independent groups share a common population variance. Introduced by Maurice Stevenson Bartlett in 1937, it formalises the null hypothesis that all group variances are equal by constructing a chi-square statistic from the ratio of pooled to individual group variances. It is a standard pre-analysis step before applying ANOVA or other procedures whose validity depends on the homoscedasticity assumption. |
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