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Non-parametric statistics
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221	Fast algorithms for Gaussian processes Michael O’Neil New York University, USA Email: [removed] Gaussian processes are one class of stochastic process that provides a straightforward generalization of random v Add to Reading List Source URL: www6.cityu.edu.hk Language: English - Date: 2014-10-15 04:26:59 Non-parametric statistics Normal distribution Random variable Stochastic process Multivariate normal distribution Kernel Statistics Gaussian process Probability theory
222	Project Information Title: 95% Kernel Utilization Distributions Geographic Description: Palmyra Atoll, Northern Line Islands, USA Bounding Coordinates (please specify the coordinate system): GCS_WGS_1984 West Bounding Co Add to Reading List Source URL: reefstomorrowinitiative.org Language: English - Date: 2015-02-25 16:53:38 Non-parametric statistics University of California Santa Barbara Geographic information system Kernel density estimation KDE Home range Global Positioning System Linux kernel Kernel Technology Software Science
223	Permutation Tests (and Sampling Without Replacement) Orders of Magnitude Faster Using SAS® John Douglas (“J.D.”) Opdyke,* DataMineIt Abstract Six permutation test algorithms coded in SAS® are compared. The fastest Add to Reading List Source URL: www.datamineit.com Language: English - Date: 2011-01-23 12:21:21 Data analysis Statistical tests Non-parametric statistics Resampling SAS Permutation Bootstrapping Fisher–Yates shuffle Algorithm Statistics Statistical inference Monte Carlo methods
224	Bootstraps, Permutation Tests, and Sampling Orders of Magnitude Faster Using SAS® John Douglas (“J.D.”) Opdyke* Abstract While permutation tests and bootstraps have very wide-ranging application, both share a common Add to Reading List Source URL: www.datamineit.com Language: English - Date: 2013-05-16 10:04:19 Monte Carlo methods Computational statistics Statistical tests Non-parametric statistics Resampling Bootstrapping SAS Permutation Fisher–Yates shuffle Statistics Mathematics Statistical inference
225	Representing Uncertainty in Ranking by Single or Multiple Indicators Add to Reading List Source URL: www.mssanz.org.au Language: English - Date: 2013-01-15 17:38:08 Statistical inference Non-parametric statistics Diagrams Process management Sensitivity analysis Resampling Uncertainty Hasse diagram Bootstrapping Statistics Science Measurement
226	Statistical Inference Confidence Intervals (and Hypothesis Tests) Ian Jolliffe Introduction Add to Reading List Source URL: cawcr.gov.au Language: English - Date: 2012-08-20 03:37:17 Bootstrapping Interval estimation Prediction interval Statistical hypothesis testing Frequentist inference Statistical power Non-parametric statistics Prediction Forecasting Statistics Statistical inference Confidence interval
227	Form 2B City University of Hong Kong Information on a Course offered by School of Energy and Environment with effect from Semester A in[removed] Add to Reading List Source URL: www.cityu.edu.hk Language: English - Date: 2014-05-26 05:48:39 Econometrics Research methods Statistical inference Actuarial science Regression analysis Linear regression Analysis Non-parametric statistics Statistics Information Science
228	Ann Inst Stat Math[removed]:93–127 DOI[removed]s10463[removed]y Sparse and efficient estimation for partial spline models with increasing dimension Guang Cheng · Hao Helen Zhang · Zuofeng Shang Add to Reading List Source URL: www.ism.ac.jp Language: English - Date: 2015-01-29 19:19:35 Signal processing Splines Statistical methods Smoothing spline Non-parametric statistics Estimator Degrees of freedom Estimation theory Smoothing Statistics Statistical inference Regression analysis
229	© Journal of Information Hiding and Multimedia Signal Processing 2014 ISSN[removed]Ubiquitous International Volume 5, Number 1, January 2014 Add to Reading List Source URL: bit.kuas.edu.tw Language: English - Date: 2014-09-05 15:18:19 Linear algebra Hilbert space Gaussian function Non-parametric statistics Multivariate statistics Kernel methods Kernel principal component analysis Support vector machine Kernel Mathematics Statistics Algebra
230	Smoothed Particle Hydrodynamics and Magnetohydrodynamics Daniel J. Price Centre for Stellar and Planetary Astrophysics & School of Mathematical Sciences, Monash University, Melbourne Vic. 3800, Australia Abstract Add to Reading List Source URL: users.monash.edu.au Language: English - Date: 2010-12-08 17:21:11 Dynamical systems Continuum mechanics Smoothed-particle hydrodynamics Non-parametric statistics Kernel density estimation Lagrangian Hamiltonian mechanics Momentum Finite pointset method Physics Computational fluid dynamics Fluid dynamics

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