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Robust statistics
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281	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.csie.ntu.edu.tw 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
282	This article appeared in a journal published by Elsevier. The attached copy is furnished to the author for internal non-commercial research and education use, including for instruction at the authors institution and shar Add to Reading List Source URL: www.opim.wharton.upenn.edu Language: English - Date: 2012-05-14 12:59:44 Robust statistics Danish design Lego Estimator Construction Median Statistics Statistical inference Estimation theory
283	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.case.edu 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
284	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: mirror.fcaglp.unlp.edu.ar 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
285	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: nbcgib.uesc.br Language: English 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
286	DNBi® Risk Management Use Unparalleled Data to Boost Performance DNBi is a powerful, web-based credit risk management solution that offers D&B’s world-class data and robust predictive analytics. DNBi’s intuitive, ea Add to Reading List Source URL: www.dnb.ca Language: English - Date: 2015-04-15 08:25:30 Financial economics Predictive analytics Analytics Credit risk Decision support system Credit score Business analytics Business intelligence Business Statistics
287	Learning Module Statistics 2 Some general principles: measures of uncertainty and small number issues Add to Reading List Source URL: www.wmpho.org.uk Language: English - Date: 2010-03-01 05:57:37 Robust statistics Data analysis Statistical theory Outlier Average Elephant Errors and residuals in statistics Sample mean and sample covariance Arithmetic mean Statistics Summary statistics Means
288	Computers & Geosciences–654 On the adequacy of identiﬁed Cole–Cole models$ Jianping Xianga, Daizhan Chengb, F.S. Schlindweinc,, N.B. Jonesc a Add to Reading List Source URL: www.le.ac.uk Language: English* - Date: 2003-05-20 04:04:15 Robust statistics Statistical inference RANSAC Least squares Estimation theory Levenberg–Marquardt algorithm Statistics Regression analysis Econometrics
289	Algorithms for LTS regression Add to Reading List Source URL: www.cfe-csda.org Language: English - Date: 2013-01-11 21:50:14 Econometrics Robust regression Estimation theory Least trimmed squares Ordinary least squares Outlier Seemingly unrelated regressions Least squares Bc programming language Statistics Regression analysis Robust statistics
290	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.dcc.fc.up.pt 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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