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Robust statistics
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401	Practical Regression and Anova using R Julian J. Faraway July 2002 1 Copyright c 1999, 2000, 2002 Julian J. Faraway Add to Reading List Source URL: cran.csiro.au Language: English - Date: 2002-07-23 07:07:14 Analysis of covariance Stepwise regression Data analysis Partial least squares regression Statistical inference Two-way analysis of variance Least squares Robust regression Outline of regression analysis Statistics Regression analysis Analysis of variance
402	Robust strategies and model selection Add to Reading List Source URL: www.cfe-csda.org Language: English - Date: 2013-01-11 21:49:51 Estimation theory Least squares Parametric statistics Linear regression Bias of an estimator Gauss–Markov theorem Mean squared error Multicollinearity Variance Statistics Regression analysis Econometrics
403	OMBRO—OMHCHO—OMOCLO De-Striping README FILE Date of this Document: 1 February 2007 Overview This document describes algorithm implementations of destriping corrections for the L2 products of the SAO PGEs OMBRO, OMHCH Add to Reading List Source URL: macuv.gsfc.nasa.gov Language: English - Date: 2014-10-08 23:44:12 Error Measurement Robust statistics Outlier Errors and residuals in statistics Smoothing Principal component analysis Sunlight Statistics Data analysis Regression analysis
404	RTF Document Add to Reading List Source URL: abs.gov.au Language: English - Date: 2014-08-14 21:33:17 Data analysis Robust statistics Errors and residuals in statistics Measurement Mean Statistic Sample Outlier Statistics Statistical theory Sampling
405	Vito Ricci - R Functions For Regression Analysis – R FUNCTIONS FOR REGRESSION ANALYSIS Here are some helpful R functions for regression analysis grouped by their goal. The name of packa Add to Reading List Source URL: star-www.st-andrews.ac.uk Language: English - Date: 2005-10-14 13:13:35 Local regression Q-Q plot Breusch–Godfrey test Least squares Durbin–Watson statistic Ordinary least squares Robust regression Breusch–Pagan test Segmented regression Statistics Regression analysis Linear regression
406	Vito Ricci - R Functions For Regression Analysis – R FUNCTIONS FOR REGRESSION ANALYSIS Here are some helpful R functions for regression analysis grouped by their goal. The name of packa Add to Reading List Source URL: cran.md.tsukuba.ac.jp Language: English - Date: 2005-10-14 13:13:35 Local regression Q-Q plot Breusch–Godfrey test Least squares Durbin–Watson statistic Ordinary least squares Robust regression Breusch–Pagan test Segmented regression Statistics Regression analysis Linear regression
407	Microsoft PowerPoint - MineralsPresentation.ppt Add to Reading List Source URL: www.aafco.org Language: English - Date: 2015-03-06 11:08:51 Science Kernel density estimation Winsorising Parts-per notation Robust statistics Statistics Measurement Statistical theory
408	Practical Regression and Anova using R Julian J. Faraway July 2002 1 Copyright c 1999, 2000, 2002 Julian J. Faraway Add to Reading List Source URL: rweb.quant.ku.edu Language: English - Date: 2002-07-23 07:07:14 Analysis of covariance Stepwise regression Data analysis Partial least squares regression Statistical inference Two-way analysis of variance Least squares Robust regression Outline of regression analysis Statistics Regression analysis Analysis of variance
409	Vito Ricci - R Functions For Regression Analysis – R FUNCTIONS FOR REGRESSION ANALYSIS Here are some helpful R functions for regression analysis grouped by their goal. The name of packa Add to Reading List Source URL: watson.nci.nih.gov Language: English - Date: 2005-10-14 13:13:35 Local regression Q-Q plot Breusch–Godfrey test Least squares Durbin–Watson statistic Ordinary least squares Robust regression Breusch–Pagan test Segmented regression Statistics Regression analysis Linear regression
410	Multivariate Regression L-Estimation Jan Picek, Jana Jurečková and Pranab K. Sen Technical University of Liberec, Czech Republic Charles University in Prague, Czech Republic, .c Add to Reading List Source URL: www.statistics.gov.hk Language: English* - Date: 2013-08-22 04:39:21 Statistical theory Robust regression M-estimators Robust statistics Estimator Regression analysis Theil–Sen estimator Statistics Estimation theory Statistical inference

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