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Regression analysis
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#	Item
191	Supplement Materials to “Non-parametric Regression with Basis Selection from Multiple Libraries” Jeffrey C. Sklar, Junqing Wu, Wendy Meiring, and Yuedong Wang April 29, 2012 Add to Reading List Source URL: www.pstat.ucsb.edu Language: English - Date: 2012-09-20 13:04:02 Statistics Estimation theory Regression analysis Covariance and correlation Computational statistics Algebra of random variables Covariance Median Normal distribution Variance Data transformation Bootstrapping
192	The impact of entrepreneurship education in high school on long-term entrepreneurial performance Add to Reading List Source URL: www.jaeurope.org Language: English - Date: 2015-06-22 11:21:37 Business Statistics Design of experiments Causal inference Economy Observational study Regression analysis Entrepreneurship Propensity score matching Logistic regression Confounding Matching
193	Implications of Stochastic Singularity in Linear Multivariate Rational Expectations Models Bernd Funovits∗ Abstract This paper deals with the number of free parameters in the reduced form of a linear multivariate ratio Add to Reading List Source URL: typo3.univie.ac.at Language: English - Date: 2014-11-10 09:11:08 Errors-in-variables models Regression analysis Equation solving Mathematical analysis Mathematics Abstraction
194	Are Things Really Getting Better?: How To Validate Latent Variable Models of Human Rights Christopher J. Fariss∗† Abstract Has respect for human rights improved? Answering this question requires valid comparisons of Add to Reading List Source URL: cfariss.com Language: English - Date: 2016-06-23 14:00:50 Statistics Statistical models Psychometrics Statistical methods Latent variable model Latent variable Human rights Latency Regression analysis
195	The Analysis of Experimental Uncertainty in AP Physics 1 and 2 The following paragraphs describe the expectations for the depth of understanding of experimental uncertainty that will be assessed on the AP Physics 1 and 2 Add to Reading List Source URL: secure-media.collegeboard.org Language: English - Date: 2015-02-04 01:16:45 Statistics Statistical theory Knowledge Numerical analysis Estimation theory Advanced Placement Measurement Uncertainty AP Physics 1 Linear regression Approximation error Data analysis
196	Forecasting Value-at-Risk by Estimating the Quantiles of the Intra-Day Low and High Series Xiaochun Meng & James W. Taylor Add to Reading List Source URL: www.cb.cityu.edu.hk Language: English - Date: 2016-07-08 02:21:56 Statistics Mathematical finance Actuarial science Probability distributions Estimation theory Technical analysis Quantile Volatility Regression analysis Value at risk Normal distribution Autoregressive conditional heteroskedasticity
197	Finding Progression Stages in Time-evolving Event Sequences Jaewon Yang†∗ Julian McAuley† Jure Leskovec† Paea LePendu‡ Nigam Shah‡ † Computer Science, Stanford University, {jayang, jmcauley, jure}@cs.stanfo Add to Reading List Source URL: infolab.stanford.edu Language: English - Date: 2014-03-21 13:55:25 Statistics Estimation theory Sequence Maximum likelihood estimation Cross entropy Logistic regression Expectationmaximization algorithm Regression analysis
198	Microsoft Word - orbs7030.doc Add to Reading List Source URL: www.math.hkbu.edu.hk Language: English - Date: 2013-09-27 05:04:10 Statistics Statistical theory Estimation theory Statistical tests Statistical inference Design of experiments Parametric statistics Analysis of variance SPSS Statistical hypothesis testing Regression analysis Linear regression
199	Ingmar R. Prucha Department of Economics University of Maryland College Park, MDTOPICS IN MICROECONOMETRICS Add to Reading List Source URL: www.vgse.at Language: English - Date: 2011-11-23 05:32:04 Statistics Data Fellows of the Econometric Society Statistical models Econometrics Econometricians Spatial econometrics Nonparametric statistics Econometric model Regression analysis Spatial analysis Methodology of econometrics
200	EE103, FallS. Boyd Homework 5 Don’t forget to include a print copy of your Julia code where required. Add to Reading List Source URL: stanford.edu Language: English - Date: 2015-11-02 22:15:51 Statistics Mathematical analysis Analysis Regression analysis Estimation theory Least squares Mathematical optimization Multivariate statistics Convolution Multivariate random variable Matrix Linear least squares

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