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Multivariate Kovariancia-elemzés (MANCOVA)×Hotelling T² teszt×
TudományterületStatisztikaStatisztika
MódszercsaládHypothesis testHypothesis test
Keletkezés éve19701931
MegalkotóExtension of MANOVA and ANCOVA traditions; consolidated in multivariate textbooks by the 1970s–1980sHarold Hotelling
TípusParametric multivariate mean comparison with covariate controlMultivariate parametric mean comparison
AlapműTabachnick, B. G. & Fidell, L. S. (2019). Using Multivariate Statistics (7th ed.). Pearson. ISBN: 978-0134790541Hotelling, H. (1931). The Generalization of Student's Ratio. Annals of Mathematical Statistics, 2(3), 360–378. link ↗
Alternatív nevekMANCOVA, multivariate ANCOVA, MANOVA with covariates, MANCOVA — Çok Değişkenli Kovaryans AnaliziHotelling T² Testi — Çok Değişkenli t-Testi, multivariate t-test, Hotelling T-squared
Kapcsolódó56
ÖsszefoglalóMANCOVA (Multivariate Analysis of Covariance) is a parametric hypothesis test that simultaneously compares two or more groups on multiple continuous dependent variables while statistically controlling for one or more covariates. It extends MANOVA by incorporating covariate adjustment, a tradition consolidated in multivariate statistical methodology by the 1970s and authoritatively documented by Tabachnick and Fidell (2019).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.
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ScholarGateMódszerek összehasonlítása: MANCOVA · Hotelling's T² Test. Letöltve 2026-06-18, forrás: https://scholargate.app/hu/compare