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Generalized least squares
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161	MA Arellano–Bond GMM estimator, 224 first-step estimator, 222 second-step estimator, 222 Asymptotic covariance matrix, 65, 114, 234 Add to Reading List Source URL: media.wiley.com Language: English - Date: 2009-06-10 05:05:20 Generalized least squares Ordinary least squares Linear regression Heteroscedasticity Homoscedasticity Structural equation modeling Instrumental variable Least squares Seemingly unrelated regressions Statistics Regression analysis Econometrics
162	Generalized Linear Covariance Analysis and the Orbit Determination Toolkit SPEAKER: Russell Carpenter (NASA Goddard Space Flight Center) Add to Reading List Source URL: www.csr.utexas.edu Language: English - Date: 2014-04-21 15:54:41 Statistical inference Data analysis Covariance Variance Least squares Estimator Statistics Regression analysis Estimation theory
163	the age group ≥65 years. However in one study by Sherman et al, it was found that older patients (≥65 years) suffered fewer physical symptoms and less pain during stem cell collection as well as modestly better psych Add to Reading List Source URL: www.uahsj.ualberta.ca Language: English - Date: 2014-06-14 15:23:12 Statistical tests Actuarial science Estimation theory Linear regression Generalized linear model Heteroscedasticity Ordinary least squares Hosmer–Lemeshow test Statistical model Statistics Regression analysis Econometrics
164	Mathematical Challenge March 2014 Interior Point Algorithms for a Robust Regression OLSLasso Estimator References:  T. Kariya, H. Kurata[removed]Generalized Least Squares  H. Wang, G. Li, G. Jiang[removed]Robust Re Add to Reading List Source URL: www.swissquant.com Language: English - Date: 2014-03-05 09:43:56 Least squares Ordinary least squares Generalized least squares Robust regression Mathematical optimization Loss function Linear programming Elastic net regularization Nonlinear regression Statistics Regression analysis Linear regression
165	Melbourne Institute Working Paper Series Working Paper No[removed]Determinants of Profitability: An Analysis of Large Australian Firms Andreas Stierwald Add to Reading List Source URL: www.melbourneinstitute.com Language: English - Date: 2010-06-18 01:52:59 Regression analysis Econometrics Statistical theory Estimator M-estimator Productivity Generalized method of moments Consistent estimator Least squares Statistics Estimation theory Statistical inference
166	Melbourne Institute Working Paper Series Working Paper No[removed]Determinants of Profitability: An Analysis of Large Australian Firms Andreas Stierwald Add to Reading List Source URL: melbourneinstitute.com Language: English - Date: 2010-06-18 01:52:59 Regression analysis Econometrics Statistical theory Estimator M-estimator Productivity Generalized method of moments Consistent estimator Least squares Statistics Estimation theory Statistical inference
167	PDF Document Add to Reading List Source URL: imstat.org Language: English - Date: 2006-01-11 15:50:57 Statistical theory M-estimators Statistical models Restricted maximum likelihood Maximum likelihood Generalized linear model Least squares Mixed model Estimating equations Statistics Regression analysis Estimation theory
168	Robust Estimation and Outlier Detection for Overdispersed Multinomial Models of Count Data Walter R. Mebane, Jr. Cornell University Jasjeet S. Sekhon Harvard University We develop a robust estimator—the hyperbolic tang Add to Reading List Source URL: sekhon.berkeley.edu Language: English - Date: 2004-04-05 02:29:39 Statistical inference Statistical theory Least squares Maximum likelihood Estimator Mean squared error Generalized linear model Robust statistics Ordinary least squares Statistics Estimation theory Regression analysis
169	ECONOMETRICS Bruce E. Hansen c 2000, 20131 University of Wisconsin Add to Reading List Source URL: www.ssc.wisc.edu Language: English - Date: 2013-01-21 09:40:27 Linear regression Heteroscedasticity Generalized method of moments Instrumental variable Least squares Quantile regression Vector autoregression Generalized least squares Gauss–Markov theorem Statistics Regression analysis Econometrics
170	ECONOMETRICS Bruce E. Hansen c 2000, 20071 University of Wisconsin Add to Reading List Source URL: www.ssc.wisc.edu Language: English - Date: 2007-01-19 09:32:35 Linear regression Instrumental variable Quantile regression Dummy variable Bootstrapping Heteroscedasticity Generalized least squares Variance Least squares Statistics Regression analysis Econometrics

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