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Kernel density estimation
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#	Item
131	A Novel Nonparametric Two-Sample Hypothesis Test Using Geometric Formulations Zhengwu Zhang, Erick Klassen, Anuj Srivastava Florida State University Statistics Department, Florida State University Mathematics Depa Add to Reading List Source URL: srcos2014.blogs.rice.edu Language: English* - Date: 2014-07-30 15:15:25 Density estimation Gaussian function Histogram Bootstrapping Resampling Gaussian blur Statistical classification Multivariate kernel density estimation Statistics Non-parametric statistics Kernel density estimation
132	Distributions are the numbers of today From histogram data to distributional data Javier Arroyo Gallardo – Universidad Complutense de Madrid Introduction Add to Reading List Source URL: www3.stat.sinica.edu.tw Language: English - Date: 2014-07-09 03:42:48 Histogram Kernel density estimation Box plot Plot Estimator Computational statistics Statistics Non-parametric statistics Statistical inference
133	J Prod Anal[removed]:143–157 DOI[removed]s11123[removed]Corporate governance and firm’s efficiency: the case of a transitional country, Ukraine∗ Valentin Zelenyuk · Vitaliy Zheka Add to Reading List Source URL: plagiarism.repec.org Language: English - Date: 2014-01-27 16:34:45 Bootstrapping Corporate governance Sarbanes–Oxley Act Estimation theory JEL classification codes Inefficiency Estimator Principal–agent problem Kernel density estimation Statistics Statistical inference Data envelopment analysis
134	J Prod Anal[removed]:143–157 DOI[removed]s11123[removed]Corporate governance and firm’s efficiency: the case of a transitional country, Ukraine∗ Valentin Zelenyuk · Vitaliy Zheka Add to Reading List Source URL: plagiarism.repec.org Language: English - Date: 2014-01-27 16:21:47 Bootstrapping Corporate governance Sarbanes–Oxley Act Estimation theory JEL classification codes Inefficiency Estimator Principal–agent problem Kernel density estimation Statistics Statistical inference Data envelopment analysis
135	PDF Document Add to Reading List Source URL: www.isi.edu Language: English - Date: 2013-07-09 16:10:06 Kullback–Leibler divergence Mutual information Entropy Differential entropy Conditional entropy Conditional mutual information Normal distribution Estimator Kernel density estimation Statistics Information theory Estimation theory
136	PDF Document Add to Reading List Source URL: iis.uibk.ac.at Language: English - Date: 2013-05-17 07:27:57 Non-parametric statistics Signal processing Kernel density estimation Kernel principal component analysis Iterative closest point Support vector machine Gaussian function Normal distribution Manifold Statistics Machine learning Multivariate statistics
137	PDF Document Add to Reading List Source URL: www3.imperial.ac.uk Language: English Non-parametric statistics Data analysis Statistical theory Normal distribution Kernel density estimation Variance Positive-definite kernel Consistent estimator Kalman filter Statistics Statistical inference Estimation theory
138	Stat (wileyonlinelibrary.com) DOI: [removed]stat.2 The ISI’s Journal for the Rapid Dissemination of Statistics Research Add to Reading List Source URL: www.stat.tamu.edu Language: English - Date: 2012-08-23 11:30:22 Statistical inference Consistent estimator Estimator Normal distribution Parametric model Kernel density estimation Mean squared error Skewness Bias of an estimator Statistics Estimation theory Statistical theory
139	Nonparametric regresion models estimation in R Nonparametric regresion models estimation in R Maer Matei Monica Mihaela, Add to Reading List Source URL: r-project.ro Language: English - Date: 2014-04-03 09:55:11 Density estimation Kernel regression Resampling Regression analysis Bootstrapping Semiparametric regression Multivariate kernel density estimation Statistics Non-parametric statistics Nonparametric regression
140	Biometrika (2007), 94, 1, pp. 119–134  2007 Biometrika Trust Printed in Great Britain doi:[removed]biomet/asm020 Add to Reading List Source URL: www.stat.tamu.edu Language: English - Date: 2008-05-28 10:46:30 Statistical inference M-estimators Regression analysis Maximum likelihood Efficient estimator Estimator Normal distribution Kernel density estimation Parametric model Statistics Estimation theory Statistical theory

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