विधियों की तुलना करें

	होटलिंग का T² परीक्षण	साधारण न्यूनतम वर्ग (OLS) समाश्रयण
क्षेत्र	सांख्यिकी	अर्थमिति
परिवार	Hypothesis test	Regression model
उद्भव वर्ष	1931	2019
प्रवर्तक	Harold Hotelling	Wooldridge (textbook treatment); classical least squares
प्रकार	Multivariate parametric mean comparison	Linear regression
मौलिक स्रोत	Hotelling, H. (1931). The Generalization of Student's Ratio. Annals of Mathematical Statistics, 2(3), 360–378.	Wooldridge, J. M. (2019). Introductory Econometrics: A Modern Approach (7th ed.). Cengage Learning. ISBN: 978-1337558860
उपनाम	Hotelling T² Testi — Çok Değişkenli t-Testi, multivariate t-test, Hotelling T-squared	ordinary least squares, classical linear regression, linear regression, en küçük kareler regresyonu
संबंधित	6	5
सारांश	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.	Ordinary Least Squares is the classical linear regression method that explains a continuous outcome as a linear combination of predictors. It estimates the coefficients by minimising the sum of squared residuals, and under the Gauss-Markov assumptions these estimates are the best linear unbiased estimator (BLUE).