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تحليل التباين المتعدد القوي (Robust MANOVA)×تحليل التباين متعدد المتغيرات (MANOVA)×
المجالالإحصاءالإحصاء
العائلةHypothesis testHypothesis test
سنة النشأة1990s–2000s1932
صاحب الطريقةRand Wilcox; Lisa Lix and H. J. KeselmanSamuel Stanley Wilks (Wilks' Lambda, 1932); Roy, Hotelling, Pillai (mid-20th c.)
النوعRobust multivariate mean comparisonParametric multivariate mean comparison
المصدر التأسيسيWilcox, R. R. (2012). Introduction to Robust Estimation and Hypothesis Testing (3rd ed.). Academic Press. ISBN: 978-0123869838Tabachnick, B.G. & Fidell, L.S. (2013). Using Multivariate Statistics (6th ed.). Pearson. ISBN: 978-0205849574
الأسماء البديلةrobust multivariate ANOVA, trimmed-mean MANOVA, outlier-resistant MANOVA, robust MANOVAMultivariate ANOVA, Çok Değişkenli ANOVA (MANOVA)
ذات صلة55
الملخصRobust MANOVA is a multivariate analysis of variance procedure designed to remain valid when classical assumptions — multivariate normality and homogeneity of covariance matrices — are violated. It replaces raw means and standard covariance matrices with resistant estimates such as trimmed means and Winsorized covariances, yielding reliable Type I error control and power in the presence of outliers and skewed distributions across multiple dependent variables simultaneously.MANOVA is a parametric hypothesis test that simultaneously compares group means across multiple continuous dependent variables, controlling the inflation of Type I error that would result from running separate ANOVAs. Key multivariate test statistics — Wilks' Lambda, Pillai's Trace, Hotelling-Lawley Trace, and Roy's Greatest Root — were developed between the 1930s and 1950s, with Wilks' Lambda formalised by Samuel Stanley Wilks in 1932.
ScholarGateمجموعة البيانات
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ScholarGateقارن الطرق: Robust MANOVA · MANOVA. استُرجع بتاريخ 2026-06-18 من https://scholargate.app/ar/compare