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Linear least squares
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351	icebreakeR Andrew Robinson Department of Mathematics and Statistics University of Melbourne Parkville, Vic. 3010 Add to Reading List Source URL: ftp.ussg.iu.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
352	icebreakeR Andrew Robinson Department of Mathematics and Statistics University of Melbourne Parkville, Vic. 3010 Add to Reading List Source URL: cran.csie.ntu.edu.tw 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
353	icebreakeR Andrew Robinson Department of Mathematics and Statistics University of Melbourne Parkville, Vic. 3010 Add to Reading List Source URL: cran.hafro.is 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
354	Edmond Malinvaud: A Tribute to his Contributions in Econometrics Peter C. B. Phillips Yale University, University of Auckland, University of Southampton, Singapore Management University April 23, 2015 Add to Reading List Source URL: www.econometricsociety.org Language: English - Date: 2015-04-23 12:01:17 Mathematics Econometrics Least squares Abstract algebra Linear algebra Projection Linear regression Covariance Orthogonality Statistics Regression analysis Algebra
355	Computing Type I, Type II, and Type III Sums of Squares directly using the general linear model. Data These are the data from HowellTable 16.5 except that two additional observations were added to cell(2,4). The Add to Reading List Source URL: www.uvm.edu Language: English - Date: 2007-06-29 17:40:38 Analysis of variance Coefficient of determination Errors and residuals in statistics Sum of squares Partition of sums of squares Statistics Regression analysis Least squares
356	Copyright © 2011 by Statistical Innovations Inc. All rights reserved. (version: Getting Started with Correlated Component Regression (CCR) in CORExpress® Dataset for running CCR Linear Regression (CCR.lm) Add to Reading List Source URL: www.statisticalinnovations.com Language: English - Date: 2011-09-12 15:01:46 Estimation theory Parametric statistics Least squares Linear regression Ordinary least squares Standardized coefficient SPSS Statistics Regression analysis Econometrics
357	icebreakeR Andrew Robinson Department of Mathematics and Statistics University of Melbourne Parkville, Vic. 3010 Add to Reading List Source URL: cran.wustl.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
358	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.cardse.net 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
359	Microsoft Word - ijita12-3.doc Add to Reading List Source URL: www.foibg.com Language: English - Date: 2015-02-02 08:42:07 Numerical linear algebra Regression analysis Matrix theory Estimation theory Tikhonov regularization Singular value decomposition Linear least squares Rank QR decomposition Algebra Mathematics Linear algebra
360	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: www.icesi.edu.co 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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