विधियों की तुलना करें

	रैम्से रीसेट टेस्ट फॉर फंक्शनल फॉर्म	साधारण न्यूनतम वर्ग (OLS) समाश्रयण
क्षेत्र	अर्थमिति	अर्थमिति
परिवार	Regression model	Regression model
उद्भव वर्ष	1969	2019
प्रवर्तक	James B. Ramsey	Wooldridge (textbook treatment); classical least squares
प्रकार	Test for functional-form misspecification	Linear regression
मौलिक स्रोत	Ramsey, J. B. (1969). Tests for specification errors in classical linear least-squares regression analysis. Journal of the Royal Statistical Society: Series B, 31(2), 350–371.	Wooldridge, J. M. (2019). Introductory Econometrics: A Modern Approach (7th ed.). Cengage Learning. ISBN: 978-1337558860
उपनाम	RESET test, regression specification error test, Ramsey RESET fonksiyonel form testi	ordinary least squares, classical linear regression, linear regression, en küçük kareler regresyonu
संबंधित	4	5
सारांश	The Ramsey RESET test, proposed by James Ramsey in 1969, is a general test for functional-form misspecification in a linear regression — for omitted nonlinear relationships between the response and the regressors. It adds powers of the fitted values to the model and checks whether they significantly improve the fit; if they do, the original linear specification has left systematic structure unexplained.	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).