পদ্ধতির তুলনা করুন

	হোটেলিং-এর T² পরীক্ষা	সাধারণ ন্যূনতম বর্গক্ষেত্র (OLS) রিগ্রেশন
ক্ষেত্র	পরিসংখ্যান	অর্থমিতি
পরিবার	Hypothesis test	Regression model
উদ্ভবের বছর	1931	2019
প্রবর্তক	Harold Hotelling	Wooldridge (textbook treatment); classical least squares
ধরন	Multivariate parametric mean comparison	Linear regression
মৌলিক উৎস	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
অপর নাম	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
সম্পর্কিত	6	5
সারসংক্ষেপ	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).