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Hotelling T²检验×多元方差分析 (MANOVA)×
领域统计学统计学
方法族Hypothesis testHypothesis test
起源年份19311932
提出者Harold HotellingSamuel Stanley Wilks (Wilks' Lambda, 1932); Roy, Hotelling, Pillai (mid-20th c.)
类型Multivariate parametric mean comparisonParametric multivariate mean comparison
开创性文献Hotelling, H. (1931). The Generalization of Student's Ratio. Annals of Mathematical Statistics, 2(3), 360–378. link ↗Tabachnick, B.G. & Fidell, L.S. (2013). Using Multivariate Statistics (6th ed.). Pearson. ISBN: 978-0205849574
别名Hotelling T² Testi — Çok Değişkenli t-Testi, multivariate t-test, Hotelling T-squaredMultivariate ANOVA, Çok Değişkenli ANOVA (MANOVA)
相关65
摘要Hotelling's T² test is a multivariate parametric hypothesis test that simultaneously compares the mean vectors of two independent groups across multiple continuous outcome variables. It was introduced by Harold Hotelling in 1931 as the direct multivariate generalization of Student's t-test, replacing the scalar mean difference with a vector difference scaled by the pooled variance-covariance matrix.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.
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ScholarGate方法对比: Hotelling's T² Test · MANOVA. 于 2026-06-18 检索自 https://scholargate.app/zh/compare