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Linear least squares
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411	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
412	Submitted to Statistical Science Models as Approximations — A Conspiracy of Random Predictors and Model Violations Against Classical Inference in Regression Add to Reading List Source URL: www-stat.wharton.upenn.edu Language: English - Date: 2014-08-19 09:54:28 Statistical inference Parametric statistics Estimation theory Linear regression Resampling Ordinary least squares Bootstrapping Linear least squares Least squares Statistics Regression analysis Econometrics
413	QUANTILE REGRESSION AN INTRODUCTION ROGER KOENKER AND KEVIN F. HALLOCK Quantile regression, as introduced by Koenker and Bassett (1978), may be viewed as an extension of classical least squares estimation of conditional Add to Reading List Source URL: www.econ.uiuc.edu Language: English - Date: 2001-05-31 13:58:51 Single equation methods Parametric statistics Quantile regression Estimation theory Quantile Linear regression Median Least squares Probit Statistics Regression analysis Econometrics
414	Fast dropout training Sida I. Wang Christopher D. Manning Department of Computer Science, Stanford University, Stanford, CA 94305 Add to Reading List Source URL: nlp.stanford.edu Language: English - Date: 2013-05-09 19:09:12 Gaussian function Normal distribution Central limit theorem Linear least squares Variance Statistics Computational statistics Regression analysis
415	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
416	Economics Discussion Paper Series EDP-1504 The Asymptotic Behaviour of the Residual Sum of Squares in Models with Multiple Break Points Add to Reading List Source URL: www.socialsciences.manchester.ac.uk Language: English - Date: 2015-03-25 09:27:28 Linear regression Least squares Instrumental variable Linear least squares Akaike information criterion Residual sum of squares Linear model Nonlinear regression Errors and residuals in statistics Statistics Regression analysis Ordinary least squares
417	Microsoft Word - WPS 183_QIN_Zhang Add to Reading List Source URL: www.soas.ac.uk Language: English - Date: 2013-10-03 08:30:36 Estimation theory Statistical methods Parametric statistics Instrumental variable Linear regression Structural equation modeling Ordinary least squares Vector autoregression Econometric model Statistics Econometrics Regression analysis
418	DECEMBERMIELKE ET AL. 847 Add to Reading List Source URL: hurricane.atmos.colostate.edu Language: English - Date: 2005-02-02 13:19:30 Linear regression Cross-validation Coefficient of determination Multiple correlation Errors and residuals in statistics Linear discriminant analysis Least squares Statistics Regression analysis Lysergic acid diethylamide
419	Correlation and efficiency of propensity score-based estimators for average causal effects, IFAU working paper 2015:3 Add to Reading List Source URL: www.ifau.se Language: English - Date: 2015-02-18 03:03:05 Estimation theory Parametric statistics Statistical inference Propensity score matching Linear regression Propensity score Variance Ordinary least squares Normal distribution Statistics Regression analysis Econometrics
420	Challenges of Trending Time Series Econometrics P.C.B. Phillipsa a Cowles Foundation, Yale University, University of Auckland and University of York. E-mail: Add to Reading List Source URL: www.mssanz.org.au Language: English - Date: 2013-01-14 22:07:56 Time series analysis Regression analysis Cointegration Unit root Linear regression Vector autoregression Least squares Normal distribution Instrumental variable Statistics Econometrics Economics

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