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Regression estimation
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#	Item
581	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: cran.cc.uoc.gr 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
582	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
583	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: mirrors.psu.ac.th 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
584	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: ftp.yzu.edu.tw 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
585	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
586	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: cran.stat.auckland.ac.nz 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
587	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
588	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
589	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
590	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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