Robust statistics

Results: 1143



#Item
461Robust statistics / Regression analysis / Absolute deviation / Mode / Median / Errors and residuals in statistics / Arithmetic mean / Nonparametric skew / Standard deviation / Statistics / Means / Summary statistics

Statistics, Probability, Distributions, & Error Propagation James R. Graham[removed]

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Source URL: ugastro.berkeley.edu

Language: English - Date: 2009-09-06 17:32:06
462Statistical theory / Econometrics / Least squares / M-estimator / Ordinary least squares / Mean squared error / Linear regression / Estimator / Least trimmed squares / Statistics / Estimation theory / Regression analysis

Robust Frequency Estimation Using Elemental Sets∗ Gordon K. Smyth Department of Mathematics, University of Queensland, Australia 4072 Douglas M. Hawkins Department of Applied Statistics

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Source URL: www.statsci.org

Language: English - Date: 2005-09-26 22:05:43
463Robust statistics / Regression analysis / Statistical theory / Mode / Absolute deviation / Median / Errors and residuals in statistics / Arithmetic mean / Nonparametric skew / Statistics / Means / Summary statistics

Statistics, Probability Distributions & Error Propagation James R. Graham 1

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Source URL: ugastro.berkeley.edu

Language: English - Date: 2006-08-29 20:14:43
464Operations research / Robust statistics / Linear programming / Convex optimization / Interior point method / Ellipsoid / Outlier / Sparse approximation / RANSAC / Statistics / Mathematical optimization / Mathematics

Robust minimum volume ellipsoids and higher-order polynomial level sets Amir Ali Ahmadi ORFE Department Princeton University

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Source URL: www.opt-ml.org

Language: English - Date: 2014-12-10 11:28:28
465Matrix theory / Singular value decomposition / Numerical linear algebra / Sparse matrices / Matrix / Rank / Principal component analysis / Sparse matrix / Trace / Algebra / Linear algebra / Mathematics

Robust Principal Component Analysis? Emmanuel J. Cand`es1,2 , Xiaodong Li2 , Yi Ma3,4 , and John Wright4 1 2 Department of Statistics, Stanford University, Stanford, CA 94305

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Source URL: statweb.stanford.edu

Language: English - Date: 2010-02-09 13:19:53
466Statistical inference / Non-parametric statistics / Statistics / Semiparametric model / Statistical theory

David P Byar Young Investigator Award 2014  Peisong Han, University of Waterloo, “Multiply robust estimation in regression analysis with missing data”. Travel Awards  Ting-Huei Chen, University of North Carolin

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Source URL: www.bio.ri.ccf.org

Language: English - Date: 2014-10-08 14:24:41
467Data analysis / Outlier / Plot / Windows / Errors and residuals in statistics / Statistics / Robust statistics / Statistical theory

DUMPStat[removed]Release Notes These release notes cover all the changes made to DUMPStat since version 2.1.1; as well as documentation errors and omissions from the 2.1 User & Statistical Guides. Changes since version 2.

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Source URL: www.discerningsystems.com

Language: English - Date: 2004-03-23 19:53:40
468Statistical inference / Robust statistics / Non-parametric statistics / Linear regression / University of Michigan / Statistics / Econometrics / Regression analysis

Wednesday Evening April 8, 2015 7:30-10:00 Reception at Hospitality Room, Radison Hotel Thursday Morning April 9, 2015 7:30-8:20 Registration at the Bernhard Center

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Source URL: www.stat.wmich.edu

Language: English - Date: 2015-04-06 21:48:08
469Robust statistics / Box plot / Function / Notion / Outlier / Statistics / Functional boxplot / Data analysis

A New Notion of Depth and Central Regions for Functional Data Naveen N. Narisetty University of Michigan, Ann Arbor Multivariate notions of depth play an important role in robust multivariate data analysis. However, rela

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Source URL: www.stat.wmich.edu

Language: English - Date: 2015-03-09 20:58:16
470Robust statistics / Interquartile range / Sample / Median / Average / Sampling / Human height / Statistics / Means / Summary statistics

Understanding centre and spread (year[removed]Centre and spread are the two most basic concepts used for descriptive and comparative statistics. If we are describing one sample or comparing two samples, we want to be abl

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Source URL: www.aucklandmaths.org.nz

Language: English - Date: 2014-05-28 04:45:21
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