مقایسهٔ روش‌ها

	تحلیل کوواریانس (ANCOVA)	تحلیل تمایز
حوزه	آمار	آمار
خانواده	Hypothesis test	Latent structure
سال پیدایش	1932	1936
پدیدآور	Ronald A. Fisher	Ronald A. Fisher
نوع	Parametric group comparison with covariate control	Supervised classification and dimension reduction
منبع بنیادین	Tabachnick, B.G. & Fidell, L.S. (2013). Using Multivariate Statistics (6th ed.). Pearson. ISBN: 978-0205849574	Fisher, R. A. (1936). The use of multiple measurements in taxonomic problems. Annals of Eugenics, 7(2), 179–188.
نام‌های دیگر	analysis of covariance, covariance analysis, ANCOVA (Kovaryans Analizi)	LDA, Fisher discriminant analysis, discriminant function analysis, canonical discriminant analysis
مرتبط	4	4
خلاصه	ANCOVA is a parametric hypothesis test that compares the adjusted means of two or more independent groups while statistically controlling for one or more continuous covariates. By removing the portion of outcome variance explained by the covariate, ANCOVA increases statistical precision and produces fairer group comparisons. The method builds on the general linear model framework consolidated by Fisher in the early 1930s and is described comprehensively by Tabachnick and Fidell (2013).	Discriminant analysis finds linear combinations of predictor variables that best separate two or more known groups. It is used both to understand which predictors distinguish the groups and to classify new observations into those groups with minimum error.