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Linear regression
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991	Comparing Effects with Logit Models G. Rohwer Version 1 Add to Reading List Source URL: www.stat.ruhr-uni-bochum.de Language: English - Date: 2014-02-26 08:39:04 Logistic regression Independence Linear regression Endogeneity Normal distribution Marginal model Instrumental variable Dummy variable Statistics Regression analysis Econometrics
992	Using R for Data Analysis and Graphics Introduction, Code and Commentary J H Maindonald Centre for Mathematics and Its Applications, Australian National University. Add to Reading List Source URL: cran.fiocruz.br Language: English - Date: 2008-01-23 03:36:16 Estimation theory R Linear regression Principal component analysis Plot Multivariate adaptive regression splines Generalized additive model for location scale and shape Statistics Regression analysis Econometrics
993	(Reprinted from the 2010 American Statistical Association Proceedings with Edits) Correlated Component Regression: A Prediction/Classification Methodology for Possibly Many Features Jay Magidson Add to Reading List Source URL: www.statisticalinnovations.com Language: English - Date: 2011-03-09 08:57:01 Logistic regression Principal component regression Linear discriminant analysis Separation Multicollinearity Stepwise regression Standardized coefficient Least squares Multinomial logit Statistics Regression analysis Linear regression
994	g02gac g02 – Regression Analysis nag glm normal (g02gac) 1. Add to Reading List Source URL: www.softintegration.com Language: English - Date: 2004-10-25 19:49:07 Least squares Linear regression Degrees of freedom Errors and residuals in statistics Partition of sums of squares Numerical Algorithms Group Residual sum of squares Linear model Statistics Regression analysis Generalized linear model
995	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.utstat.utoronto.ca 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
996	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: mirrors.softliste.de 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
997	g02 – Regression Analysis g02dnc nag regsn mult linear est func (g02dnc) 1. Add to Reading List Source URL: www.softintegration.com Language: English - Date: 2004-10-25 19:49:07 Statistical models Estimation theory Parametric statistics Linear regression Covariance Linear model Statistics Regression analysis Econometrics
998	Title stata.com ivregress — Single-equation instrumental-variables regression Description Options Add to Reading List Source URL: www.stata.com Language: English - Date: 2015-04-07 21:48:38 Regression analysis Estimation theory Generalized method of moments Instrumental variable Heteroscedasticity-consistent standard errors Linear regression M-estimator Maximum likelihood Endogeneity Statistics Econometrics Economics
999	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: www.vps.fmvz.usp.br 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
1000	DATA-DRIVEN MODELING OF NON-LINEAR MICROWAVE DEVICES Bernd Schoner and Neil A. Gershenfeld Physics and Media Group MIT Media Laboratory Cambridge, MA 02139 Add to Reading List Source URL: www.cba.mit.edu Language: English - Date: 2011-12-13 18:32:02 Econometrics Functional analysis Volterra series Linear regression Scattering parameters Cluster-weighted modeling Transistor model Economic model Electronic filter Statistics Electronic engineering Regression analysis