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Review of Ordinary Least Squares and Generalized Least Squares
1984The purpose of this chapter is to review the fundamentals of ordinary least squares and generalized least squares in the context of linear regression analysis. The presentation here is somewhat condensed given our objective of focusing on more advanced topics in econometrics.
Thomas B. Fomby +2 more
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Least squares parameter estimation
Automatica, 1979Abstract This article demonstrates the application of least squares for the estimation of system parameters. Analytic as well as numerical approaches are described. The model of the system dynamics is assumed in the form of regression model. Solutions are discussed for the case of white noise and correlated noise corrupting the useful output signal ...
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Smoothing and differentiation of data by simplified least square procedure.
Analytical Chemistry, 1964Jean Steinier, Yves Termonia, J. Deltour
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Direct Least Square Fitting of Ellipses
IEEE Transactions on Pattern Analysis and Machine Intelligence, 1999A. Fitzgibbon, M. Pilu, Robert B. Fisher
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Lmfit: Non-Linear Least-Square Minimization and Curve-Fitting for Python
, 2014M. Newville +3 more
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An Algorithm for Least Squares
Journal of Mathematics and Physics, 1947Nielsen, K. L., Goldstein, L.
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