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Linear least squares
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#	Item
221	icebreakeR Andrew Robinson Department of Mathematics and Statistics University of Melbourne Parkville, Vic. 3010 Add to Reading List Source URL: ftp.osuosl.org 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
222	icebreakeR Andrew Robinson Department of Mathematics and Statistics University of Melbourne Parkville, Vic. 3010 Add to Reading List Source URL: mirrors.nics.utk.edu 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
223	g02dac g02 – Regression Analysis nag regsn mult linear (g02dac) 1. Add to Reading List Source URL: www.softintegration.com Language: English - Date: 2004-10-25 19:49:07 Mathematics Linear regression Singular value decomposition Least squares Rank Linear model Degrees of freedom Matrix QR decomposition Statistics Algebra Regression analysis
224	icebreakeR Andrew Robinson Department of Mathematics and Statistics University of Melbourne Parkville, Vic. 3010 Add to Reading List Source URL: cran.uib.no 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
225	icebreakeR Andrew Robinson Department of Mathematics and Statistics University of Melbourne Parkville, Vic. 3010 Add to Reading List Source URL: ftp.cixug.es 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
226	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.gis-lab.info 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
227	The Method of Least Squares Hervé Abdi1 1 Introduction The least square methods (LSM) is probably the most popular technique in statistics. This is due to several factors. First, most common estimators can be casted wit Add to Reading List Source URL: www.utd.edu Language: English - Date: 2006-08-17 11:57:37 Econometrics Estimation theory Parametric statistics Generalized least squares Linear regression Gauss–Markov theorem Ordinary least squares Nonlinear regression Linear least squares Statistics Regression analysis Least squares
228	icebreakeR Andrew Robinson Department of Mathematics and Statistics University of Melbourne Parkville, Vic. 3010 Add to Reading List Source URL: cran.repo.bppt.go.id 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
229	Transactions of the American Fisheries Society 134:481–495, 2005 q Copyright by the American Fisheries Society 2005 DOI: T04Article] Add to Reading List Source URL: www.water.ca.gov Language: English - Date: 2009-09-28 13:47:46 Linear regression Errors and residuals in statistics Sampling Variance Nonlinear regression Sample size determination Least squares Statistics Regression analysis Econometrics
230	icebreakeR Andrew Robinson Department of Mathematics and Statistics University of Melbourne Parkville, Vic. 3010 Add to Reading List Source URL: cran-r.c3sl.ufpr.br 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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