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Багатовимірний дисперсійний аналіз (MANOVA)×Independent Samples t-test×Однофакторний дисперсійний аналіз×
ГалузьСтатистикаСтатистикаСтатистика
РодинаHypothesis testHypothesis testHypothesis test
Рік появи193219081925
Автор методуSamuel Stanley Wilks (Wilks' Lambda, 1932); Roy, Hotelling, Pillai (mid-20th c.)Student (W. S. Gosset)Ronald A. Fisher
ТипParametric multivariate mean comparisonParametric mean comparisonParametric mean comparison
Основоположне джерелоTabachnick, B.G. & Fidell, L.S. (2013). Using Multivariate Statistics (6th ed.). Pearson. ISBN: 978-0205849574Student (1908). The probable error of a mean. Biometrika, 6(1), 1–25. DOI ↗Fisher, R. A. (1925). Statistical Methods for Research Workers. Edinburgh: Oliver and Boyd. link ↗
Інші назвиMultivariate ANOVA, Çok Değişkenli ANOVA (MANOVA)student t-test, two-sample t-test, unpaired t-test, bağımsız örneklem t-testione-factor ANOVA, single-factor ANOVA, analysis of variance, tek yönlü ANOVA
Пов'язані544
ПідсумокMANOVA 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.The independent samples t-test is a parametric hypothesis test that compares the means of two independent groups to decide whether they differ significantly. It builds on the t-distribution introduced by Student (W. S. Gosset) in 1908 and assumes the measured values are continuous, approximately normally distributed, and have equal variances.One-way ANOVA is a parametric hypothesis test that compares the means of three or more independent groups on a single continuous outcome to decide whether at least one group mean differs. It rests on the variance-partitioning framework introduced by Ronald A. Fisher in 1925.
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ScholarGateПорівняння методів: MANOVA · Independent t-test · One-way ANOVA. Отримано 2026-06-20 з https://scholargate.app/uk/compare