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Linear regression
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#	Item
91	Statistical Forecast of the 2001 Western Wildfire Season Using Principal Components Regression contributed by Anthony L. Westerling1, Daniel R. Cayan1,2, Alexander Gershunov1, Michael D. Dettinger2 and Timothy Brown3 1 Add to Reading List Source URL: ulmo.ucmerced.edu Language: English - Date: 2009-09-24 14:04:49 Prediction Statistical forecasting Statistics Statistical inference Regression analysis Ecological succession Occupational safety and health Wildfire Forecasting Forecast skill FORECAST Linear regression
92	American Economic Review: Papers & Proceedings 2011, 101:3, 288–292 http://www.aeaweb.org/articles.php?doi=aerPredicting and Preventing Shootings among At-Risk Youth By Dana Chandler, Steven D. Levit Add to Reading List Source URL: home.uchicago.edu Language: English - Date: 2016-03-23 11:36:56 Regression analysis Statistics Statistical theory Hypothesis testing Statistical power Linear regression Propensity score matching Yap
93	doi:j.ecolmodel Add to Reading List Source URL: www.lmcarrascal.eu Language: English - Date: 2011-03-04 09:47:48 Statistics Regression analysis Ecology Estimation theory Business intelligence Statistical models Predictive modelling Linear regression Decision tree learning Prediction Species distribution Bird atlas
94	P267-25 Multiple Imputation for Missing Data: Concepts and New Development Yang C. Yuan, SAS Institute Inc., Rockville, MD Abstract Add to Reading List Source URL: www.ats.ucla.edu Language: English - Date: 2016-08-17 18:18:26 Statistics Data Regression analysis Statistical analysis Covariance and correlation Estimation theory Statistical methods Imputation Linear regression Covariance Mixed model Variance
95	Let’s Put Garbage—Can Regressions and Garbage—Can Probits Where They Belong Christopher H. Achen Department of Politics Princeton University Princeton, NJ 08544 Add to Reading List Source URL: www.columbia.edu Language: English - Date: 2005-02-22 11:15:17 Statistics Regression analysis Linear regression Probit Ordinary least squares Dependent and independent variables Errors and residuals General linear model Econometrics Dummy variable Multinomial logistic regression
96	Critical Thinking A tour through the science of neuroscience NEBM – Publication Bias Emily S Sena Centre for Clinical Brain Sciences, University of Edinburgh Add to Reading List Source URL: www.dcn.ed.ac.uk Language: English - Date: 2014-05-08 09:09:39 Systematic review Medical research Knowledge Research Meta-analysis Academic publishing Critical thinking Bias Funnel plot Publication bias Reporting bias Linear regression
97	Microsoft Word - election04_WP.doc Add to Reading List Source URL: www.yuricareport.com Language: English - Date: 2004-11-19 12:11:41 Bush family Livingston family Schuyler family United States Conservatism in the United States Elections Texas Electronic voting George W. Bush Voting machine Voter turnout Linear regression
98	Residual-augmented IVX predictive regression Matei Demetrescu∗ Christian-Albrechts-University of Kiel Paulo M. M. Rodrigues† Banco de Portugal and Universidade Nova de Lisboa December 29, 2015 Add to Reading List Source URL: www.cb.cityu.edu.hk Language: English - Date: 2016-07-08 02:27:17 Statistics Regression analysis Linear regression Errors and residuals Instrumental variable T-statistic Heteroscedasticity Bias of an estimator Autocorrelation Volatility Unit root
99	Microsoft Word - COURSES_ENGLISH_JUNE_26_2014 Add to Reading List Source URL: www.actuar.aegean.gr Language: English - Date: 2014-06-28 14:47:33 Statistics Regression analysis Linear model Actuarial science
100	Microsoft Word - Methodological Note Flash 11_final.doc Add to Reading List Source URL: archive.etsc.eu Language: English - Date: 2014-03-31 11:04:31 Estimation theory Statistics Regression analysis Parametric statistics Linear regression Statistical theory Logarithm

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