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Generalized least squares
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101	Package ‘statmod’ July 2, 2014 Version[removed]Date[removed]Title Statistical Modeling Author Gordon Smyth [cre, aut], Yifang Hu [ctb], Peter Dunn [ctb], Belinda Phipson [ctb], Yunshun Chen [ctb] Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-07-02 16:37:23 Deviance Log-linear model Gamma distribution Linear regression Normal distribution Binomial regression Digamma Least squares Exponential family Statistics Regression analysis Generalized linear model
102	acronyms and initialisms found in CIS 1 acronym/ initialism Add to Reading List Source URL: www.statindex.org Language: English - Date: 2004-02-13 10:13:16 Econometrics Statistical inference Parametric statistics Maximum likelihood Linear regression Generalized least squares Generalized linear model Least squares Instrumental variable Statistics Estimation theory Regression analysis
103	Model-based Boosting in R A Hands-on Tutorial Using the R Package mboost Benjamin Hofner∗† Andreas Mayr† Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-10-02 11:30:58 Econometrics Decision trees Actuarial science Gradient boosting Boosting Linear regression Least squares Generalized linear model Multicollinearity Statistics Regression analysis Ensemble learning
104	PDF Document Add to Reading List Source URL: socserv.socsci.mcmaster.ca Language: English - Date: 2010-11-10 12:04:02 Generalized linear model Variance inflation factor Logistic regression Least squares Count data R Simple linear regression Outline of regression analysis Comparison of general and generalized linear models Statistics Regression analysis Linear regression
105	Appendix E Statistical Forecasting Techniques ::. .. Add to Reading List Source URL: ntl.bts.gov Language: English - Date: 2012-06-27 16:48:29 Least squares Time series analysis Estimation theory Linear regression Instrumental variable Ordinary least squares Multicollinearity Heteroscedasticity Generalized least squares Statistics Regression analysis Econometrics
106	Package ‘rms’ September 19, 2014 Version 4.2-1 Date 2014-09-18 Title Regression Modeling Strategies Author Frank E Harrell Jr Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-09-18 18:44:56 Analysis of variance Ordinary least squares Logistic regression Linear regression Degrees of freedom Design matrix Residual sum of squares Generalized least squares Quantile regression Statistics Regression analysis F-test
107	Generalized Additive Models for Current Status Data [removed] Department of Epidemiology and Biostatistics, Box 0560, University of California San Francisco, San Francisco, Add to Reading List Source URL: www.epibiostat.ucsf.edu Language: English - Date: 2002-10-30 16:13:57 Proportional hazards models Generalized linear model Additive model Semiparametric regression Probit model Least squares Generalized additive model Semiparametric model Backfitting algorithm Statistics Regression analysis Linear regression
108	Package ‘gam’ July 2, 2014 Type Package Title Generalized Additive Models Date[removed]Version[removed] Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-07-02 11:55:40 Additive model Backfitting algorithm Smoothing Gam Deviance Linear least squares Degrees of freedom Kernel smoother Least squares Statistics Regression analysis Generalized additive model
109	Imbens/Wooldridge, Lecture Notes 15, Summer ’07 What’s New in Econometrics 1 NBER, Summer 2007 Add to Reading List Source URL: www.nber.org Language: English - Date: 2007-07-27 10:46:46 Maximum likelihood M-estimator Fisher information Estimator Ordinary least squares Mean squared error Parametric model Likelihood function Efficiency Statistics Estimation theory Generalized method of moments
110	WORKING PAPER #31 An Evaluation of Empirical Bayes’ Estimation of ValueAdded Teacher Performance Measures Cassandra M. Guarino, Indiana University Michelle Maxfield, Michigan State University Mark D. Reckase, Michigan Add to Reading List Source URL: education.msu.edu Language: English - Date: 2014-03-11 12:04:45 Linear regression Ordinary least squares Gauss–Markov theorem Generalized least squares Bayes estimator Estimator Bias of an estimator Least squares Fixed effects model Statistics Estimation theory Regression analysis

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