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Parametric statistics
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#	Item
1	Graham Neubig – Non-parametric Bayesian Statistics Non-parametric Bayesian Statistics Graham Neubig Add to Reading List Source URL: www.phontron.com Language: English - Date: 2012-05-10 05:46:25
2	Automatic Selection of Compiler Options Using Non-parametric Inferential Statistics Masayo Haneda Peter M.W. Knijnenburg Harry A.G. Wijshoff Add to Reading List Source URL: pact05.ce.ucsc.edu - Date: 2005-12-16 02:11:59
3	Proceedings of the 60th ISI World Statistics Congress, 26-31 July 2015, Rio de Janeiro, Brazil p.3981 Parametric or nonparametric: the FIC approach for stationary time series Gudmund Horn Hermansen* Add to Reading List Source URL: www.isi2015.org - Date: 2016-06-02 10:16:18
4	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
5	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
6	TEM Journal–235 Analyzing Emotional Exhaustion from Viewpoints of Physicians and Nurses – A Case of a Regional Teaching Hospital Yii-Ching Lee 1, Chih-Hsuan Huang 2, Shao-Jen Weng 3, Add to Reading List Source URL: www.temjournal.com Language: English - Date: 2016-05-24 19:31:57 Stress Statistical tests Parametric statistics Statistics Emotion Economy Organizational psychology Organizational behavior Occupational burnout Emotional exhaustion Nursing Variance
7	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
8	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
9	Non-Parametric Jensen-Shannon Divergence Hoang-Vu Nguyen and Jilles Vreeken Max-Planck Institute for Informatics and Saarland University, Germany {hnguyen,jilles}@mpi-inf.mpg.de Abstract. Quantifying the difference betw Add to Reading List Source URL: eda.mmci.uni-saarland.de Language: English - Date: 2015-06-16 04:34:55 Statistics Probability Mathematical analysis Information theory Statistical theory Statistical distance Probability distributions Stable distributions KullbackLeibler divergence Normal distribution Divergence Entropy
10	CENTER FOR LABOR ECONOMICS UNIVERSITY OF CALIFORNIA, BERKELEY WORKING PAPER NO. 35 Do Electoral Cycles in Police Hiring Really Help Us Estimate the Effect of Police on Crime? Add to Reading List Source URL: cle.berkeley.edu Language: English - Date: 2001-09-11 13:34:20 Regression analysis Simultaneous equation methods Parametric statistics Steven Levitt Least squares Instrumental variable Ordinary least squares Crime in the United States Violent crime Sampling Statistics