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Regression
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#	Item
191	•Modeling Land Values Across the Platte Watershed to Enhance Irrigation Retirement Programs and Conservation Acquisitions Steve Shultz University of Nebraska at Omaha Drew Kessler and Nick Schmitz (Formerly Add to Reading List Source URL: watercenter.unl.edu Language: English - Date: 2010-02-04 12:03:40 Land management Economy Agricultural soil science Agronomy Natural resources Hedonic regression Real estate valuation Irrigation Biology
192	Code and Data for the Social Sciences: A Practitioner’s Guide Matthew Gentzkow Jesse M. Shapiro1 Chicago Booth and NBER March 10, 2014 Add to Reading List Source URL: people.stanford.edu Language: English - Date: 2015-09-16 22:35:41 Computing Software Stata Find Regression analysis Data file Diff utility
193	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
194	Mission Energy Prediction for Unmanned Ground Vehicles Using Realtime Measurements and Prior Knowledge Add to Reading List Source URL: robotics.umich.edu Language: English - Date: 2016-08-04 12:43:38 Statistics Statistical theory Estimation theory Bayesian statistics Statistical inference Unmanned ground vehicle Prediction Regression analysis Prognostics Confidence interval Normal distribution Recursive least squares filter
195	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
196	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
197	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
198	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
199	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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