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Robust statistics
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#	Item
261	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: dssm.unipa.it 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
262	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.cc.uoc.gr 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
263	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.mirror.ac.za 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
264	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.stat.upd.edu.ph 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
265	Area Under the Precision-Recall Curve: Point Estimates and Confidence Intervals Kendrick Boyd1 , Kevin H. Eng2 , and C. David Page1 1 2 Add to Reading List Source URL: pages.cs.wisc.edu Language: English - Date: 2014-03-18 17:47:43 Statistical theory Biostatistics Robust statistics Estimator Confidence interval Bias of an estimator Receiver operating characteristic Bootstrapping Median Statistics Statistical inference Estimation theory
266	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.fiocruz.br 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
267	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: nbcgib.uesc.br 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
268	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.uib.no 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
269	An Outlier Robust Block Bootstrap for Small Area Estimation Payam Mokhtarian and Ray Chambers National Institute for Applied Statistics Research Australia University of Wollongong, Wollongong, NSW 2522, AUSTRALIA Corresp Add to Reading List Source URL: www.statistics.gov.hk Language: English - Date: 2013-08-22 04:39:20 Statistical theory Robust statistics Data analysis Bootstrapping Estimator Resampling Mean squared error Errors and residuals in statistics Variance Statistics Estimation theory Statistical inference
270	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.nexr.com 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

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