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Non-parametric statistics
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#	Item
681	Monday, June 16, 8:00 AM – 8:20 AM Conference opening session Monday, June 16, 8:20 AM – 9:30 AM Keynote session Analyzing Genome Scale Data Add to Reading List Source URL: statkiss.org Language: English - Date: 2014-06-08 03:22:57 Econometrics Robust statistics Non-parametric statistics Statistical inference Regression analysis Statistical power Jayanta Kumar Ghosh Statistics Science Information
682	Global Headquarters: 5 Speen Street Framingham, MA[removed]USA P[removed]F[removed]www.idc-gi.com Study on e-Procurement Measurement and Benchmarking MARKT[removed]C Add to Reading List Source URL: ec.europa.eu Language: English - Date: 2013-08-09 06:29:44 Systems engineering Government procurement E-procurement Management Non-parametric statistics Business Procurement Supply chain management
683	1 Introduction Smoothing Spline ANOVA (SS-ANOVA) models in reproducing kernel Hilbert spaces (RKHS) provide a very general framework for data analysis, modeling and learning in a variety of fields. Add to Reading List Source URL: www.modern-medical-science.site88.net Language: English - Date: 2013-02-01 20:18:06 Polynomials Operator theory Statistical tests Ordinary differential equations Non-parametric statistics
684	The development of a laboratory data analysis curriculum for physics and engineering students. by David F. Wong Add to Reading List Source URL: faraday.physics.utoronto.ca Language: English - Date: 2006-07-07 14:08:30 Covariance and correlation Scientific method Non-parametric statistics Statistical dependence Histogram Data analysis Correlation and dependence Plot Pearson product-moment correlation coefficient Statistics Information Science
685	Total Access New Version for Access 2010 Add to Reading List Source URL: www.fmsinc.com Language: English - Date: 2013-04-23 17:50:43 Non-parametric statistics Hypothesis testing Two-way analysis of variance F-test Statistical power Chi-squared test Statistics Statistical tests Analysis of variance
686	Multiplicative Bias Corrected Nonparametric Smoothers N. Hengartnera , E. Matzner-Løberb , L. Rouvi`erec, 1 a 2 Add to Reading List Source URL: www.ensai.fr Language: English - Date: 2013-01-23 11:12:39 Statistical inference Econometrics Estimation theory Nonparametric regression Kernel smoother Estimator Variance Linear regression Polynomial regression Statistics Regression analysis Non-parametric statistics
687	Optimal L1 Bandwidth Selection for Variable Kernel Density Estimates ` Alain BERLINET, G´erard BIAU and Laurent ROUVIERE ∗ Add to Reading List Source URL: www.ensai.fr Language: English - Date: 2013-01-23 11:12:39 Kernel density estimation Dimensional analysis Statistical theory Computational statistics Multivariate kernel density estimation Maximum likelihood Statistics Non-parametric statistics Estimation theory
688	February 16, 2005 Effective Construction of Modified Histograms in Higher Dimensions ` Alain BERLINET and Laurent ROUVIERE Add to Reading List Source URL: www.ensai.fr Language: English - Date: 2013-01-23 11:11:14 Summary statistics Quantile Histogram Absolute continuity Divergence Q-Q plot Statistics Mathematical analysis Non-parametric statistics
689	Oecologia[removed]:357–365 DOI[removed]s00442[removed]METHODS Estimating global arthropod species richness: refining Add to Reading List Source URL: geo.cbs.umn.edu Language: English - Date: 2013-02-09 14:53:19 Risk analysis Robust statistics Actuarial science Statistical dependence Monte Carlo method Probability distribution Statistical model Non-parametric statistics Copula Statistics Probability and statistics Probability box
690	Kernel Methods for Deep Learning Youngmin Cho and Lawrence K. Saul Department of Computer Science and Engineering University of California, San Diego 9500 Gilman Drive, Mail Code 0404 Add to Reading List Source URL: cseweb.ucsd.edu Language: English - Date: 2009-10-01 14:38:18 Statistical classification Non-parametric statistics Support vector machine Signal processing Kernel Activation function Linux kernel Trigonometric functions Supervised learning Statistics Machine learning Neural networks

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