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Least squares
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#	Item
561	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: ftp.ussg.iu.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
562	icebreakeR Andrew Robinson Department of Mathematics and Statistics University of Melbourne Parkville, Vic. 3010 Add to Reading List Source URL: cran.at.r-project.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
563	g02gbc g02 – Regression Analysis nag glm binomial (g02gbc) 1. Add to Reading List Source URL: www.softintegration.com Language: English - Date: 2004-10-25 19:49:07 Linear regression Deviance Degrees of freedom Least squares Linear model Statistics Regression analysis Generalized linear model
564	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.ma.imperial.ac.uk 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
565	Mathematical Model for an Observed Azimuth on a Conformal Mapping Plane Dr. Peter A. Steeves, P.Eng. Geodetic Software Systems The mathematical model for an azimuth. Add to Reading List Source URL: webhome.idirect.com Language: English - Date: 2002-02-19 11:40:34 Least squares Expected value Mathematics Quaternions Regression analysis Statistics Mathematical analysis
566	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.csie.ntu.edu.tw 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
567	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.wustl.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
568	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: ftp.cixug.es 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
569	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.hafro.is 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
570	Nonlinear Models of Measurement Errors XIAOHONG CHEN and HAN HONG and DENIS NEKIPELOV1 Key words: Linear or nonlinear errors-in-variables models, classical or nonclassical measurement errors, attenuation bias, instrument Add to Reading List Source URL: web.stanford.edu Language: English - Date: 2010-12-02 19:46:16 Errors-in-variables models Linear regression Instrumental variable Regression dilution Nonlinear regression Errors and residuals in statistics Endogeneity Correlation and dependence Ordinary least squares Statistics Regression analysis Econometrics

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