เปรียบเทียบวิธี

	การวิเคราะห์จำแนก (Discriminant Analysis)	การทดสอบ T² ของ Hotelling	การวิเคราะห์ความแปรปรวนร่วม (Multivariate Analysis of Variance - MANOVA)
สาขาวิชา	สถิติศาสตร์	สถิติศาสตร์	สถิติศาสตร์
ตระกูล	Latent structure	Hypothesis test	Hypothesis test
ปีกำเนิด	1936	1931	1932
ผู้ริเริ่ม	Ronald A. Fisher	Harold Hotelling	Samuel Stanley Wilks (Wilks' Lambda, 1932); Roy, Hotelling, Pillai (mid-20th c.)
ประเภท	Supervised classification and dimension reduction	Multivariate parametric mean comparison	Parametric multivariate mean comparison
แหล่งต้นตำรับ	Fisher, R. A. (1936). The use of multiple measurements in taxonomic problems. Annals of Eugenics, 7(2), 179–188.	Hotelling, H. (1931). The Generalization of Student's Ratio. Annals of Mathematical Statistics, 2(3), 360–378.	Tabachnick, B.G. & Fidell, L.S. (2013). Using Multivariate Statistics (6th ed.). Pearson. ISBN: 978-0205849574
ชื่อเรียกอื่น	LDA, Fisher discriminant analysis, discriminant function analysis, canonical discriminant analysis	Hotelling T² Testi — Çok Değişkenli t-Testi, multivariate t-test, Hotelling T-squared	Multivariate ANOVA, Çok Değişkenli ANOVA (MANOVA)
ที่เกี่ยวข้อง	4	6	5
สรุป	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.	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.