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Non-parametric statistics
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#	Item
701	Whitepaper – U.S. SEO Ranking Factors[removed]Authors: Marcus Tober, Sebastian Weber Add to Reading List Source URL: www.marketing-internet-montreal.com Language: English - Date: 2012-06-23 14:12:34 World Wide Web Covariance and correlation Statistical dependence Non-parametric statistics Internet marketing Backlink AdSense Google Search Google Internet Search engine optimization Computing
702	Mohamad Amin Pourhoseingholi et al RESEARCH COMMUNICATION Add to Reading List Source URL: www.apocp.org Language: English - Date: 2008-10-15 15:57:31 Regression analysis Epidemiology Medical statistics Accelerated failure time model Hazard ratio Proportional hazards models Semiparametric model Non-parametric statistics Akaike information criterion Statistics Survival analysis Statistical models
703	Diagnostic Plots for One-Dimensional Data1 G. Sawitzki StatLab Heidelberg Add to Reading List Source URL: statlab.uni-heidelberg.de Language: English - Date: 2003-11-14 12:37:30 Normal distribution Plot Kernel density estimation Histogram Order statistic Robust statistics Estimation theory Kullback–Leibler divergence Skewness Statistics Non-parametric statistics Statistical theory
704	EASTERN OREGON UNIVERSITY[removed]CATALOG Statistics OBJECTIVES The need to analyze data is common to all disciplines. Statistics courses are offered in order to: • Provide an introduction to statistical procedures as Add to Reading List Source URL: www.eou.edu Language: English - Date: 2014-05-01 12:56:42 Parametric statistics Statistical tests Design of experiments Minitab Regression analysis Linear regression Non-parametric statistics Statistical hypothesis testing Analysis of variance Statistics Econometrics Statistical inference
705	Very fast optimal bandwidth selection for univariate kernel density estimation VIKAS CHANDRAKANT RAYKAR and RAMANI DURAISWAMI Perceptual Interfaces and Reality Laboratory Department of Computer Science and Institute for Add to Reading List Source URL: www.umiacs.umd.edu Language: English - Date: 2006-06-28 18:53:06 Density estimation Estimation theory Maximum likelihood Normal distribution Mean integrated squared error Kernel Gaussian function Closed and exact differential forms Variance Statistics Non-parametric statistics Kernel density estimation
706	The improved fast Gauss transform with applications to machine learning Vikas C. Raykar and Ramani Duraiswami University of Maryland, CollegePark {vikas,ramani}@cs.umd.edu Add to Reading List Source URL: www.umiacs.umd.edu Language: English - Date: 2005-12-15 12:21:38 Gaussian function Non-parametric statistics Multivariate statistics Signal processing Statistical classification Kernel principal component analysis Kernel density estimation Positive-definite kernel Gaussian process Statistics Machine learning Mathematics
707	Fast optimal bandwidth selection for kernel density estimation Vikas C. Raykar and Ramani Duraiswami Add to Reading List Source URL: www.umiacs.umd.edu Language: English - Date: 2006-04-23 18:59:48 Density estimation Kernel Estimation theory Multivariate kernel density estimation Statistics Non-parametric statistics Kernel density estimation
708	Fast Computation of Kernel Estimators Add to Reading List Source URL: www.umiacs.umd.edu Language: English - Date: 2010-04-11 13:17:14 Mathematical analysis Kernel density estimation Kernel regression Density estimation Approximation algorithm Kernel Numerical analysis Convolution Fast Fourier transform Non-parametric statistics Statistics Mathematics
709	ABSTRACT Title of dissertation: SCALABLE MACHINE LEARNING FOR MASSIVE DATASETS : Add to Reading List Source URL: www.umiacs.umd.edu Language: English - Date: 2007-04-24 16:24:59 Kernel density estimation K-nearest neighbor algorithm Fast Fourier transform Density estimation Algorithm Multivariate kernel density estimation Non-parametric statistics Statistics Mathematics
710	Scalable machine learning for massive datasets: Fast summation algorithms VIKAS CHANDRAKANT RAYKAR, University of Maryland, CollegePark Add to Reading List Source URL: www.umiacs.umd.edu Language: English - Date: 2007-01-19 03:12:22 Supervised learning Kernel regression Support vector machine Multivariate kernel density estimation Kernel methods Kernel density estimation Computational statistics Fast multipole method Gaussian function Statistics Non-parametric statistics Machine learning

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