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अरैखिक ओएलएस (अरैखिक न्यूनतम वर्ग)×अरेखीय सामान्यीकृत न्यूनतम वर्ग (NGLS)×
क्षेत्रअर्थमितिअर्थमिति
परिवारRegression modelRegression model
उद्भव वर्ष1974–19871975
प्रवर्तकGallant (1987); Wooldridge (2010) for econometric treatmentGallant (1975); extended by Davidson & MacKinnon
प्रकारNonlinear regression estimatorNonlinear estimator
मौलिक स्रोतGallant, A. R. (1987). Nonlinear Statistical Models. John Wiley & Sons. ISBN: 978-0471802600Gallant, A. R. (1987). Nonlinear Statistical Models. Wiley. ISBN: 978-0471802600
उपनामnonlinear least squares, NLS, NLLS, nonlinear regressionNGLS, nonlinear generalized least squares, feasible nonlinear GLS, FNGLS
संबंधित52
सारांशNonlinear 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.
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  1. v1
  2. 2 स्रोत
  3. PUBLISHED

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ScholarGateविधियों की तुलना करें: Nonlinear OLS · Nonlinear GLS. 2026-06-18 को यहाँ से प्राप्त https://scholargate.app/hi/compare