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راجع الطرق التي اخترتها جنبًا إلى جنب؛ الصفوف المختلفة مميَّزة.
| اختبار ليفين وبراون-فورسايث لتكافؤ التباينات× | اختبار التبديل (العشوائية)× | |
|---|---|---|
| المجال | الإحصاء | الإحصاء |
| العائلة | Regression model | Regression model |
| سنة النشأة≠ | 1960 | 2005 |
| صاحب الطريقة≠ | Howard Levene; Morton B. Brown and Alan B. Forsythe | Good (2005); Edgington & Onghena (2007); resampling tradition |
| النوع≠ | Homogeneity of variance test (robust) | Nonparametric resampling test |
| المصدر التأسيسي≠ | 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 ↗ | Good, P. (2005). Permutation, Parametric and Bootstrap Tests of Hypotheses (3rd ed.). Springer. ISBN: 978-0387202792 |
| الأسماء البديلة | Levene test, Brown-Forsythe test, homogeneity of variance test, Levene ve Brown-Forsythe Varyans Testi | randomization test, exact permutation test, re-randomization test, Permütasyon Testi |
| ذات صلة | 5 | 5 |
| الملخص≠ | 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. | The permutation test is a nonparametric resampling procedure that builds the sampling distribution of a test statistic directly from the data by repeatedly shuffling the group labels. Developed in the resampling tradition and treated systematically by Good (2005) and Edgington & Onghena (2007), it requires no parametric distributional assumption and yields an exact p-value. |
| ScholarGateمجموعة البيانات ↗ |
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