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Generalized least squares
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#	Item
41	Correlated Component Regression (CCR) Use this module to model and predict a designated dependent variable Y (continuous or dichotomous) from a set of P correlated explanatory variables (predictors) X = (X1, X2, … , XP Add to Reading List Source URL: statisticalinnovations.com Language: English - Date: 2011-09-22 15:25:17 Partial least squares regression Linear regression Linear discriminant analysis Multicollinearity Generalized linear model Least squares Cross-validation Multinomial logit Nonparametric regression Statistics Regression analysis Logistic regression
42	RESEARCH ESSAY CONSISTENT PARTIAL LEAST SQUARES PATH MODELING1 Theo K. Dijkstra Faculty of Economics and Business, University of Groningen, Nettelbosje 2, 9747 AE Groningen THE NETHERLANDS {} Add to Reading List Source URL: www.misq.org Language: English - Date: 2015-04-29 10:02:16 Structural equation modeling Multicollinearity Least squares Generalized least squares Variance Instrumental variable Ordinary least squares Reliability engineering Internal consistency Statistics Regression analysis Partial least squares regression
43	RESEARCH ESSAY CONSISTENT PARTIAL LEAST SQUARES PATH MODELING1 Theo K. Dijkstra Faculty of Economics and Business, University of Groningen, Nettelbosje 2, 9747 AE Groningen THE NETHERLANDS {} Add to Reading List Source URL: www.misq.org Language: English - Date: 2015-04-29 10:02:16 Structural equation modeling Multicollinearity Least squares Generalized least squares Variance Instrumental variable Ordinary least squares Reliability engineering Internal consistency Statistics Regression analysis Partial least squares regression
44	16 IEEE TRANSACTIONS ON NEURAL NETWORKS, VOL. 15, NO. 1, JANUARY 2004 The Generalized LASSO Volker Roth Add to Reading List Source URL: cs-wwwarchiv.cs.unibas.ch Language: English - Date: 2009-09-16 12:22:16 Supervised learning Support vector machine Relevance vector machine Regularization Iteratively reweighted least squares Generalized linear model Linear least squares Ordinary least squares Linear regression Statistics Regression analysis Least squares
45	A Fast Parsimonious Maximum Likelihood Approach for Predicting Outcome Variables from a Large Number of Predictors Jay Magidson Statistical Innovations Inc. Belmont, Massachusetts, United States jay@statisticalinnovation Add to Reading List Source URL: statisticalinnovations.com Language: English - Date: 2012-06-18 09:40:05 Statistical models Actuarial science Single equation methods Logistic regression Linear regression Dummy variable Partial least squares regression Least squares Generalized linear model Statistics Regression analysis Econometrics
46	Microsoft Word - Scientific_Rep_03-08_forside.doc Add to Reading List Source URL: www.dmi.dk Language: English Gauss–Markov theorem Linear regression Least squares Autocorrelation Errors and residuals in statistics Generalized least squares Simple linear regression Statistics Regression analysis Ordinary least squares
47	Generalized Linear Models Contents 1 Introducing GLMs 1.1 Examples of GLMsInference with GLMsglm in R . . . . . . . . . . . . . Add to Reading List Source URL: people.bath.ac.uk Language: English - Date: 2010-12-21 12:26:03 Deviance Akaike information criterion Least squares Errors and residuals in statistics Statistics Regression analysis Generalized linear model
48	Diagnosing Problems in Linear and Generalized Linear Models 6 Add to Reading List Source URL: www.sagepub.com Language: English - Date: 2010-11-15 23:53:41 Errors and residuals in statistics Linear regression Studentized residual Marginal model Least squares Residual sum of squares T-statistic Partial regression plot Regression model validation Statistics Regression analysis Ordinary least squares
49	Approximate Generalized Inverse Preconditioning Methods for Least Squares Problems Xiaoke Cui DOCTOR OF Add to Reading List Source URL: www.nii.ac.jp Language: English - Date: 2010-03-08 19:45:47 Regression analysis Statistics Preconditioner Least squares Iterative method Linear least squares Generalized minimal residual method Matrix Mathematical optimization Numerical linear algebra Numerical analysis Mathematics
50	Time-Series Regression and Generalized Least Squares in R An Appendix to An R Companion to Applied Regression, Second Edition John Fox & Sanford Weisberg last revision: 11 November 2010 Add to Reading List Source URL: socserv.socsci.mcmaster.ca Language: English - Date: 2010-11-11 18:20:15 Autocorrelation Ordinary least squares Generalized least squares Errors and residuals in statistics Least squares Standard error Newey–West estimator Linear regression Statistics Regression analysis Durbin–Watson statistic

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