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Linear regression
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911	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
912	> help.start() > help.start() > exp(-5) > exp [ 9 9 Add to Reading List Source URL: cran.ms.unimelb.edu.au Language: English - Date: 2008-04-24 05:10:49 Scientific method SPSS Logistic regression Linear regression Plot Stata Data analysis Relative risk Regression Statistics Regression analysis Econometrics
913	An introduction to R Longhow Lam Under Construction Feb-2010 some sections are unfinished! longhowlam at gmail dot com Add to Reading List Source URL: mirror.fcaglp.unlp.edu.ar Language: English - Date: 2010-10-28 06:44:47 Functional languages Econometrics Regression analysis R Array programming languages Ggplot2 Plot SAS Linear regression Statistics Software Mathematical software
914	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
915	Creating R Packages: A Tutorial Friedrich Leisch Department of Statistics, Ludwig-Maximilians-Universit¨at M¨ unchen, and R Development Core Team, September 14, 2009 Add to Reading List Source URL: stat.ethz.ch Language: English - Date: 2009-10-13 08:08:14 Regression analysis Econometrics Functions and mappings Estimation theory Parametric statistics R Function Linear regression Matrix Mathematics Statistics Algebra
916	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
917	Variable selection in semiparametric regression modeling Add to Reading List Source URL: www.personal.psu.edu Language: English - Date: 2008-02-06 13:25:46 Estimation theory Econometrics Statistical inference Linear regression Nonparametric regression Semiparametric regression Semiparametric model Parametric model Non-parametric statistics Statistics Regression analysis Statistical models
918	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
919	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.univ-lyon1.fr 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
920	PDF Document Add to Reading List Source URL: www.stata-press.com Language: English - Date: 2006-08-01 09:12:22 Durbin–Watson statistic Heteroscedasticity Newey–West estimator Autocorrelation Dummy variable Ordinary least squares Tobit model Least squares Linear regression Statistics Regression analysis Econometrics

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