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Linear least squares
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251	The Hong Kong University of Science and Technology Model Averaging Methods for Instrumental Variable Estimation by Add to Reading List Source URL: www.bm.ust.hk Language: English - Date: 2006-04-23 22:09:10 Economics Instrumental variable Least squares Endogeneity Linear regression Structural equation modeling Statistics Regression analysis Econometrics
252	icebreakeR Andrew Robinson Department of Mathematics and Statistics University of Melbourne Parkville, Vic. 3010 Add to Reading List Source URL: star-www.st-andrews.ac.uk Language: English - Date: 2010-12-19 04:13:33 Parametric statistics Estimation theory Time series analysis Bootstrapping Plot Q-Q plot Ordinary least squares Linear regression Errors and residuals in statistics Statistics Regression analysis Econometrics
253	icebreakeR Andrew Robinson Department of Mathematics and Statistics University of Melbourne Parkville, Vic. 3010 Add to Reading List Source URL: cran.stat.auckland.ac.nz Language: English - Date: 2010-12-19 04:13:33 Parametric statistics Estimation theory Time series analysis Bootstrapping Plot Q-Q plot Ordinary least squares Linear regression Errors and residuals in statistics Statistics Regression analysis Econometrics
254	Vito Ricci - R Functions For Regression Analysis – R FUNCTIONS FOR REGRESSION ANALYSIS Here are some helpful R functions for regression analysis grouped by their goal. The name of packa Add to Reading List Source URL: cran-mirror.cs.uu.nl Language: English - Date: 2005-10-14 13:13:35 Local regression Q-Q plot Breusch–Godfrey test Least squares Durbin–Watson statistic Ordinary least squares Robust regression Breusch–Pagan test Segmented regression Statistics Regression analysis Linear regression
255	Tutorial 1 Getting Started with Correlated Regression (CCR) in XLSTAT-CCR Component Add to Reading List Source URL: www.statisticalinnovations.com Language: English - Date: 2013-04-17 11:16:19 Standardized coefficient Partial least squares regression Ordinary least squares Least squares XLSTAT Unit-weighted regression Statistics Regression analysis Linear regression
256	Block Cholesky Algorithms Dr. Peter A. Steeves, P. Eng. Geodetic Software Systems A set of normal equations may be expressed in matrix notation as N ⋅ X = Add to Reading List Source URL: webhome.idirect.com Language: English - Date: 2002-02-19 11:40:34 Numerical linear algebra Matrices Matrix theory Matrix Cholesky decomposition Linear least squares Triangular matrix Symmetric matrix Block matrix Algebra Linear algebra Mathematics
257	Biometrika (2007), 94, 3, pp. 553–568  2007 Biometrika Trust Printed in Great Britain doi:biomet/asm053 Advance Access publication 5 August 2007 Add to Reading List Source URL: www.personal.psu.edu Language: English - Date: 2007-09-03 12:21:02 Estimation theory Parametric statistics Least squares Linear regression Ordinary least squares Normal distribution Estimator Multivariate normal distribution Variance Statistics Regression analysis Econometrics
258	International Archives of Photogrammetry and Remote Sensing, Hakodate, Japan, 1998, Vol. 32 (B5), ppHUMAN BODY MODELING AND MOTION ANALYSIS FROM VIDEO SEQUENCES Pascal Fua1), Armin Gruen2), Ralf Plänkers1), Nic Add to Reading List Source URL: www.hometrica.ch Language: English - Date: 2007-05-18 10:36:55 Mathematics Visual effects 3D computer graphics Degrees of freedom Mechanics Ellipsoid Geodesy Linear least squares Trajectory Geometry Physics Geophysics
259	Vito Ricci - R Functions For Regression Analysis – R FUNCTIONS FOR REGRESSION ANALYSIS Here are some helpful R functions for regression analysis grouped by their goal. The name of packa Add to Reading List Source URL: cran.csiro.au Language: English Local regression Q-Q plot Breusch–Godfrey test Least squares Durbin–Watson statistic Ordinary least squares Robust regression Breusch–Pagan test Segmented regression Statistics Regression analysis Linear regression
260	icebreakeR Andrew Robinson Department of Mathematics and Statistics University of Melbourne Parkville, Vic. 3010 Add to Reading List Source URL: watson.nci.nih.gov Language: English - Date: 2010-12-19 04:13:33 Parametric statistics Estimation theory Time series analysis Bootstrapping Plot Q-Q plot Ordinary least squares Linear regression Errors and residuals in statistics Statistics Regression analysis Econometrics

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