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Linear least squares
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#	Item
211	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.biodisk.org 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
212	Multivariate Online Anomaly Detection Using Kernel Recursive Least Squares Tarem Ahmed and Mark Coates Anukool Lakhina Add to Reading List Source URL: www.tsp.ece.mcgill.ca Language: English - Date: 2007-02-19 11:48:18 Linear algebra Multivariate statistics Singular value decomposition Abstract algebra Kernel principal component analysis Signal processing Principal component analysis Vector space Anomaly detection Algebra Statistics Mathematics
213	Stopping stepwise: Why stepwise and similar selection methods are bad, and what you should use Add to Reading List Source URL: www.nesug.org Language: English - Date: 2007-11-28 13:50:39 Least-angle regression Linear regression Feature selection Least squares Model selection Logistic regression Cross-validation Regression Partial least squares regression Statistics Regression analysis Stepwise regression
214	Microsoft Word - Rao_Kim_ISI2013_paper.doc Add to Reading List Source URL: www.statistics.gov.hk Language: English - Date: 2013-08-22 04:39:19 Econometrics Statistical inference Least squares Linear regression Instrumental variable Bias of an estimator Estimator Variance Mean squared error Statistics Regression analysis Estimation theory
215	icebreakeR Andrew Robinson Department of Mathematics and Statistics University of Melbourne Parkville, Vic. 3010 Add to Reading List Source URL: mirrors.dotsrc.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
216	Copyright © 2011 by Statistical Innovations Inc. All rights reserved. Correlated Component Regression A Sparse Alternative to PLS Regression Jay Magidson Statistical Innovations Inc. Add to Reading List Source URL: www.statisticalinnovations.com Language: English - Date: 2011-08-12 14:22:39 Partial least squares regression Standardized coefficient Ordinary least squares Covariance Stepwise regression Statistics Regression analysis Linear regression
217	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.uni-muenster.de 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
218	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.repo.bppt.go.id 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
219	icebreakeR Andrew Robinson Department of Mathematics and Statistics University of Melbourne Parkville, Vic. 3010 Add to Reading List Source URL: cran.cardse.net Language: English 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
220	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.mtu.edu 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

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