<--- Back to Details
First PageDocument Content
Computational statistics / Statistical tests / Monte Carlo methods / Bootstrapping / Resampling / Non-parametric statistics / Multiple comparisons / Regression analysis / Statistics / Statistical inference / Digital signal processing
Date: 2013-08-22 15:13:36
Computational statistics
Statistical tests
Monte Carlo methods
Bootstrapping
Resampling
Non-parametric statistics
Multiple comparisons
Regression analysis
Statistics
Statistical inference
Digital signal processing

Add to Reading List

Source URL: www.resample.com

Download Document from Source Website

File Size: 2,19 MB

Share Document on Facebook

Similar Documents

Graham Neubig – Non-parametric Bayesian Statistics Non-parametric Bayesian Statistics Graham Neubig

DocID: 1uQOM - View Document

Automatic Selection of Compiler Options Using Non-parametric Inferential Statistics Masayo Haneda Peter M.W. Knijnenburg Harry A.G. Wijshoff

DocID: 1tDtm - View Document

Statistics / Probability / Mathematical analysis / Information theory / Statistical theory / Statistical distance / Probability distributions / Stable distributions / KullbackLeibler divergence / Normal distribution / Divergence / Entropy

Non-Parametric Jensen-Shannon Divergence Hoang-Vu Nguyen and Jilles Vreeken Max-Planck Institute for Informatics and Saarland University, Germany {hnguyen,jilles}@mpi-inf.mpg.de Abstract. Quantifying the difference betw

DocID: 1riud - View Document

Statistics / Estimation theory / Regression analysis / Covariance and correlation / Computational statistics / Algebra of random variables / Covariance / Median / Normal distribution / Variance / Data transformation / Bootstrapping

Supplement Materials to “Non-parametric Regression with Basis Selection from Multiple Libraries” Jeffrey C. Sklar, Junqing Wu, Wendy Meiring, and Yuedong Wang April 29, 2012

DocID: 1qpjv - View Document

Statistics / Statistical inference / Estimation theory / Statistical models / Signal processing / Censoring / Survival analysis / Nonparametric statistics / Mixture model / Bootstrapping / Likelihood function

Non-parametric estimation of the survivor function for misclassified failure time data Andrew Titman Lancaster University 27 August 2013

DocID: 1pWNm - View Document