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Non-parametric statistics
Results: 797

#	Item
381	Microsoft PowerPoint - MOVEFinalConf_UrskaDemsar.pptx Add to Reading List Source URL: move-cost.info Language: English - Date: 2014-07-02 13:05:47 Kernel density estimation Kernel Linux kernel KDE Home range System software Software Non-parametric statistics Free software
382	LoCoH: Nonparameteric Kernel Methods for Constructing Home Ranges and Utilization Distributions Wayne M. Getz1,2, Scott Fortmann-Roe1, Paul C. Cross3,4., Andrew J. Lyons1., Sadie J. Ryan1.¤, Christopher C. Wilmers5 1 D Add to Reading List Source URL: www.nrmsc.usgs.gov Language: English* - Date: 2012-11-15 18:42:27 Local convex hull Computational statistics Statistical inference Home range Kernel smoother Bootstrapping K-nearest neighbor algorithm Gaussian function Plot Statistics Non-parametric statistics Data analysis
383	Fast Distribution To Real Regression Junier B. Oliva Willie Neiswanger Barnab´ Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2014-09-09 15:27:07 Regression analysis Non-parametric statistics M-estimators Kernel density estimation Maximum likelihood Errors and residuals in statistics Kernel regression Expectation–maximization algorithm Normal distribution Statistics Estimation theory Statistical theory
384	18th World IMACS / MODSIM Congress, Cairns, Australia[removed]July 2009 http://mssanz.org.au/modsim09 Selecting predictors for seasonal streamflow predictions using a Bayesian joint probability (BJP) modelling approach Add to Reading List Source URL: www.bom.gov.au Language: English - Date: 2014-11-12 01:35:19 Scientific method Non-parametric statistics Resampling Statistical inference Prediction Climate Climatology Information Science Statistics
385	Package ‘GraphPCA’ July 2, 2014 Type Package Title GraphPCA, Graphical tools of histogram PCA Version 1.0 Depends R (>= 2.15.1) Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-07-02 09:52:30 Data analysis Data set Principal component analysis Plot Statistics Non-parametric statistics Histogram
386	Appendix G Best Fit Data-Calculations of 95% UCL on the Arithmetic Mean and Hypothesis Testing Gkhoury Add to Reading List Source URL: www.epa.gov Language: English - Date: 2013-06-20 15:11:52 Non-parametric statistics Statistical inference Normal distribution Lilliefors test Kolmogorov–Smirnov test Bootstrapping Anderson–Darling test Resampling Minimum-variance unbiased estimator Statistics Normality tests Statistical tests
387	Introduction to the R package TDA Brittany T. Fasy, Jisu Kim, Fabrizio Lecci and Cl´ ement Maria In collaboration with the CMU TopStat Group Abstract Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-10-14 20:50:33 Topology Kernel density estimation Topological data analysis Diagram Continuous function Homology Sheaf KDE Function Mathematics Non-parametric statistics Mathematical analysis
388	Kernel Mean Estimation and Stein Effect Add to Reading List Source URL: jmlr.org Language: English - Date: 2014-02-16 19:30:21 Statistical inference Decision theory Non-parametric statistics Shrinkage estimator Kernel density estimation Estimator Normal distribution Maximum likelihood James–Stein estimator Statistics Estimation theory Statistical theory
389	From the Desk March 2010 Confidence Intervals for Forecast Verification: Practical Considerations Add to Reading List Source URL: www.ral.ucar.edu Language: English - Date: 2010-03-17 17:59:31 Bootstrapping Credible interval Standard error Normal distribution Non-parametric statistics Statistics Statistical inference Confidence interval
390	Package ‘EXPERT’ December 6, 2010 Title A package for Extremely small P-value Evaluation for Resampling-based Tests Version[removed]Date[removed]Author Kai Yu and Faming Liang Add to Reading List Source URL: dceg.cancer.gov Language: English - Date: 2013-05-14 07:29:33 Hypothesis testing Non-parametric statistics Resampling Test statistic Statistical hypothesis testing Parameter Statistic Eval R Statistics Statistical tests Statistical inference

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