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Многомерный дисперсионный анализ с ковариатами (MANCOVA)×Тест Хотеллинга T²×
ОбластьСтатистикаСтатистика
СемействоHypothesis testHypothesis test
Год появления19701931
Автор методаExtension of MANOVA and ANCOVA traditions; consolidated in multivariate textbooks by the 1970s–1980sHarold Hotelling
ТипParametric multivariate mean comparison with covariate controlMultivariate parametric mean comparison
Основополагающий источникTabachnick, 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 ↗
Другие названияMANCOVA, multivariate ANCOVA, MANOVA with covariates, MANCOVA — Çok Değişkenli Kovaryans AnaliziHotelling T² Testi — Çok Değişkenli t-Testi, multivariate t-test, Hotelling T-squared
Связанные56
СводкаMANCOVA (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.
ScholarGateНабор данных
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ScholarGateСравнение методов: MANCOVA · Hotelling's T² Test. Получено 2026-06-18 из https://scholargate.app/ru/compare