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Linear regression
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21	How well can pre-clinical stroke researchers replicate effect sizes in their experiments? A metaanalysis of “accidental replications”. Principle investigators Research group Topic / keywords Date Version Add to Reading List Source URL: www.translationalethics.com Language: English - Date: 2016-04-14 13:54:07 Statistics Design of experiments Knowledge Science Experiments Scientific method Clinical research Causal inference Meta-analysis Scientific control Confounding Linear regression
22	Microsoft Word - satpaper.forjoe.finalrevision.doc Add to Reading List Source URL: eml.berkeley.edu Language: English - Date: 2012-11-01 12:46:13 Statistics Regression analysis Estimation theory Parametric statistics Least squares Linear regression Ordinary least squares Incremental validity SAT University of California Variance T-statistic
23	On the finite sample properties of pre-test estimators of spatial models Gianfranco Piras∗ Ingmar R. Prucha† Add to Reading List Source URL: rri.wvu.edu Language: English - Date: 2013-10-02 12:09:44 Statistics Estimation theory Regression analysis Statistical theory Parametric statistics Signal processing Ordinary least squares Autocorrelation Estimator Generalized method of moments Robust statistics Linear regression
24	RMM Vol. 2, 2011, 146–178 Special Topic: Statistical Science and Philosophy of Science Edited by Deborah G. Mayo, Aris Spanos and Kent W. Staley http://www.rmm-journal.de/ Aris Spanos Add to Reading List Source URL: www.rmm-journal.com Language: English - Date: 2011-10-27 11:24:50 Statistics Statistical theory Psychometrics Hypothesis testing Abduction Deductive reasoning Statistical inference Confidence interval Linear regression Statistical model Statistical hypothesis testing Frequentist probability
25	Leverage scores Petros Drineas Rensselaer Polytechnic Institute Computer Science Department To access my web page: Add to Reading List Source URL: mmds-data.org Language: English - Date: 2016-03-09 01:29:55 Algebra Linear algebra Mathematics Numerical linear algebra Matrix theory Regression analysis Least squares Singular value decomposition QR decomposition Matrix Rank Singular value
26	Chapter 5 Local Regress ion Trees In this chapter we explore the hypothesis of improving the accuracy of regression trees by using smoother models at the tree leaves. Our proposal consists of using local regression model Add to Reading List Source URL: www.dcc.fc.up.pt Language: English - Date: 2012-12-13 10:18:43 Regression analysis Statistics Estimation theory Nonparametric statistics Parametric statistics Polynomial regression Local regression Decision tree learning Kernel regression Ordinary least squares Nonparametric regression Linear regression
27	INFERENCE IN HIGH DIMENSIONAL PANEL MODELS WITH AN APPLICATION TO GUN CONTROL arXiv:1411.6507v1 [stat.ME] 24 NovALEXANDRE BELLONI, VICTOR CHERNOZHUKOV, CHRISTIAN HANSEN, AND DAMIAN KOZBUR Add to Reading List Source URL: arxiv.org Language: English - Date: 2014-11-24 20:40:16 Statistics Regression analysis Estimation theory Lasso Linear regression Random effects model Least squares Fixed effects model Ordinary least squares Instrumental variable Feature selection Heteroscedasticity
28	Microsoft Word - InternetAppendix_Final.docx Add to Reading List Source URL: www3.nd.edu Language: English - Date: 2011-03-18 15:04:06 Statistics Estimation theory Mathematical finance Regression analysis Parametric statistics Linear regression Beta Cross-sectional data
29	OPTIMAL PREDICTORS FOR THE DATA COMPRESSION OF DIGITAL ELEVATION MODELS USING THE METHOD OF LAGRANGE MULTIPLIERS . Add to Reading List Source URL: mapcontext.com Language: English - Date: 2008-08-29 22:13:05 Statistics Regression analysis Statistical theory Entropy Information theory Randomness Least squares Kriging Errors and residuals Linear regression Lossless JPEG
30	Value–at–Risk Prediction: A Comparison of Alternative Strategies∗ Keith Kuestera a Stefan Mittnikb c d † Add to Reading List Source URL: www.keithkuester.eu Language: English - Date: 2007-10-14 06:50:06 Statistics Mathematical analysis Probability Probability distributions Regression analysis Linear regression Normal distribution Quantile regression Quantile function Beta distribution Value at risk Skewness

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