Krahasoni metodat

	OLS jo-lineare (Minitë më të vogla të katrorëve jo-lineare)	Metoda më e re e përgjithshme e katrorëve më të vegjël (NGLS)
Fusha	Ekonometri	Ekonometri
Familja	Regression model	Regression model
Viti i origjinës	1974–1987	1975
Krijuesi	Gallant (1987); Wooldridge (2010) for econometric treatment	Gallant (1975); extended by Davidson & MacKinnon
Lloji	Nonlinear regression estimator	Nonlinear estimator
Burimi themelues	Gallant, A. R. (1987). Nonlinear Statistical Models. John Wiley & Sons. ISBN: 978-0471802600	Gallant, A. R. (1987). Nonlinear Statistical Models. Wiley. ISBN: 978-0471802600
Emërtime të tjera	nonlinear least squares, NLS, NLLS, nonlinear regression	NGLS, nonlinear generalized least squares, feasible nonlinear GLS, FNGLS
Të lidhura	5	2
Përmbledhja	Nonlinear Ordinary Least Squares (NLS) estimates regression models in which the conditional mean function is nonlinear in the parameters. Like standard OLS it minimises the sum of squared residuals, but because no closed-form solution exists the estimator is found by iterative numerical optimisation. Under standard regularity conditions NLS is consistent and asymptotically normal.	Nonlinear Generalized Least Squares extends the classical GLS framework to regression models where the mean function is nonlinear in the parameters. It accounts for non-spherical errors — heteroscedasticity or autocorrelation — by pre-weighting the nonlinear objective with an estimated error covariance matrix, yielding consistent and asymptotically efficient estimates.