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Linear least squares
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341	icebreakeR Andrew Robinson Department of Mathematics and Statistics University of Melbourne Parkville, Vic. 3010 Add to Reading List Source URL: cran.cnr.berkeley.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
342	icebreakeR Andrew Robinson Department of Mathematics and Statistics University of Melbourne Parkville, Vic. 3010 Add to Reading List Source URL: cran.espol.edu.ec 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
343	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: mirror.fcaglp.unlp.edu.ar 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
344	Lanczos Approximations for the Speedup of Kernel Partial Least Squares Regression Nicole Kr¨ amer Machine Learning Group Add to Reading List Source URL: jmlr.csail.mit.edu Language: English - Date: 2009-04-18 18:18:09 Linear algebra Regression analysis Numerical linear algebra Singular value decomposition Operator theory Lanczos algorithm Eigenvalues and eigenvectors Partial least squares regression Principal component analysis Algebra Statistics Mathematics
345	g02dec g02 – Regression Analysis nag regsn mult linear add var (g02dec) 1. Add to Reading List Source URL: www.softintegration.com Language: English - Date: 2004-10-25 19:49:07 Least squares Linear model Degrees of freedom Matrix Generalized linear model QR decomposition Numerical Algorithms Group Statistics Regression analysis Linear regression
346	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: nbcgib.uesc.br 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
347	Multiple Linear Regression in XLSTAT demoReg2.xls Data to run a multiple linear regression An Excel sheet with both the data and results can be downloaded by clicking here. The data have been obtained in Lewis T. and Tay Add to Reading List Source URL: www.statisticalinnovations.com Language: English - Date: 2011-11-17 13:31:04 Simple linear regression Analysis of covariance Errors and residuals in statistics Coefficient of determination XLSTAT Bootstrapping Least squares Statistics Regression analysis Linear regression
348	New Estimation and Model Selection Procedures for Semiparametric Modeling in Longitudinal Data Analysis Jianqing FAN and Runze L I Semiparametric regression models are very useful for longitudinal data analysis. The comp Add to Reading List Source URL: www.personal.psu.edu Language: English - Date: 2004-11-30 13:50:28 Semiparametric regression Heteroscedasticity-consistent standard errors T-statistic Least squares Polynomial regression Bias of an estimator Nonparametric regression Residual sum of squares Normal distribution Statistics Regression analysis Linear regression
349	icebreakeR Andrew Robinson Department of Mathematics and Statistics University of Melbourne Parkville, Vic. 3010 Add to Reading List Source URL: cran.univ-lyon1.fr 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
350	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.dcc.fc.up.pt 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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