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Ordinary least squares
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51	Alternating Minimization for Regression Problems with Vector-valued Outputs Prateek Jain Microsoft Research, INDIA Add to Reading List Source URL: dept.stat.lsa.umich.edu Language: English - Date: 2015-11-02 15:34:37 Regression analysis Estimation theory Covariance and correlation Parametric statistics Statistical theory Linear regression Estimation of covariance matrices Ordinary least squares Normal distribution Maximum likelihood estimation Covariance Errors and residuals
52	Prediction Policy Problems Add to Reading List Source URL: www.cs.cornell.edu Language: English - Date: 2015-06-08 00:39:15 Machine learning Estimation theory Model selection Econometrics Regression analysis Prediction Variance Statistics Cross-validation Ordinary least squares Least squares
53	WHEN IS IT JUSTIFIABLE TO IGNORE EXPLANATORY VARIABLE ENDOGENEITY IN A REGRESSION MODEL? RICHARD A. ASHLEY AND CHRISTOPHER F. PARMETER Abstract. The point of empirical work is commonly to test a very small number of cruc Add to Reading List Source URL: ashleymac.econ.vt.edu Language: English - Date: 2015-09-10 11:42:59 Econometrics Regression analysis Ordinary least squares Endogeneity Exogeny Instrumental variable Structural equation modeling Statistical hypothesis testing Linear regression
54	PDF Document Add to Reading List Source URL: courses.washington.edu Language: English - Date: 2004-01-27 09:46:47 Statistics Regression analysis Studentized residual Errors and residuals Degrees of freedom Projection matrix Linear regression Mean squared error Ordinary least squares Coefficient of determination
55	MEASURES OF THE LIBERAL POLICIES IN AGRICULTURE Add to Reading List Source URL: www.projects.its.czu.cz Language: English - Date: 2012-10-31 05:01:55 Simple linear regression Bayesian linear regression Explained variation Partial least squares regression Ordinary least squares Multiple correlation Errors and residuals in statistics Multicollinearity Least squares Statistics Regression analysis Linear regression
56	Post-Selection and Post-Regularization Inference in Linear Models with Many Controls and Instruments Add to Reading List Source URL: www.mit.edu Language: English - Date: 2015-06-01 15:55:42 Economics Instrumental variable Least squares Ordinary least squares Endogeneity Linear regression Errors-in-variables models Statistics Regression analysis Econometrics
57	Paper to be presented at the DRUID 2011 on INNOVATION, STRATEGY, and STRUCTURE Organizations, Institutions, Systems and Regions at Copenhagen Business School, Denmark, June 15-17, 2011 Add to Reading List Source URL: druid8.sit.aau.dk Language: English - Date: 2011-05-24 18:07:38 Estimation theory Design Parametric statistics Innovation Linear regression Errors and residuals in statistics Service innovation Ordinary least squares Function Statistics Regression analysis Econometrics
58	DOC Document Add to Reading List Source URL: www.eafe-fish.org Language: English - Date: 2011-03-15 21:49:11 Econometrics Time series analysis Statistical tests Simultaneous equation methods Breusch–Godfrey test Instrumental variable Durbin–Watson statistic Autocorrelation Ordinary least squares Statistics Economics Regression analysis
59	Jordan Journal of Mathematics and Statistics (JJMS) 4(1), 2011, ppLONGITUDINAL DATA ANALYSIS USING GENERALIZED MAXIMUM ENTROPY APPROACH MOHAMMAD Y. AL-RAWWASH(1) AND AMJAD D. AL-NASSER(2) Add to Reading List Source URL: journals.yu.edu.jo Language: English - Date: 2012-02-24 11:21:41 Estimation theory Maximum likelihood Generalized linear model Normal distribution Principle of maximum entropy Ordinary least squares Entropy Standard deviation Statistics Statistical theory Regression analysis
60	cover-datafirst-saldru_latest.indd Add to Reading List Source URL: www.datafirst.uct.ac.za Language: English - Date: 2013-11-21 08:16:47 Estimation theory Regression analysis Survey methodology Sampling Ordinary least squares Bootstrapping Census Estimator Heteroscedasticity Statistics Econometrics Statistical inference

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