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Robust regression
Results: 471

#	Item
201	A Post-Aggregation Error Record Extraction Based on Naive Bayes for Statistical Survey Enumeration Kiyomi Shirakawa, National Statistics Center, Tokyo, JAPAN e-mail: Abstract At the pre-aggregation Add to Reading List Source URL: www.statistics.gov.hk Language: English - Date: 2013-08-22 04:39:17 Estimation theory Statistical theory Data analysis Outlier Naive Bayes classifier Robust regression Quartile Linear regression Bayesian spam filtering Statistics Regression analysis Robust statistics
202	Selective editing approach: an application Rodrigo S. Von Doellinger1,2, Maysa S. De Magalhães3,4, and Pedro N. Silva5 1 Coordination of Methods and Quality, Brazilian Institute of Geography and Statistics, Rio de Janei Add to Reading List Source URL: www.statistics.gov.hk Language: English - Date: 2013-08-22 04:39:17 Probability theory Robust statistics Statistical theory Errors and residuals in statistics Normal distribution Outlier Multivariate normal distribution Independence Variance Statistics Regression analysis Data analysis
203	Robust Imputation of Missing Values in Compositional Data Using the -Package robCompositions Matthias Templ∗,∗∗ , Peter Filzmoser∗ , Karel Hron∗∗∗ ∗ Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2015-05-06 11:22:28 Missing data Robust regression Bootstrapping Resampling Regression analysis Compositional data Outlier Principal component analysis Linear regression Statistics Data analysis Imputation
204	Optimally Weighted Least-Squares Steganalysis Andrew D. Ker Oxford University Computing Laboratory, Parks Road, Oxford OX1 3QD, England ABSTRACT Quantitative steganalysis aims to estimate the amount of payload in a stego Add to Reading List Source URL: www.cs.ox.ac.uk Language: English - Date: 2007-04-03 07:34:22 Statistical theory M-estimators Robust regression Estimator Bias of an estimator Variance Statistics Estimation theory Statistical inference
205	A robust test for regression coefficients using L1-norm H. Nyquist Department of Statistics, Stockholm University, Sweden Testing the significance of coefficients in linear regression is one of th Add to Reading List Source URL: www.statistics.gov.hk Language: English - Date: 2013-08-22 04:39:21 Econometrics Regression analysis Statistical theory T-statistic F-test Linear regression Wald test Statistic Errors and residuals in statistics Statistics Statistical tests Parametric statistics
206	Learning-based Robust Control: Guaranteeing Stability while Improving Performance Felix Berkenkamp and Angela P. Schoellig Abstract— To control dynamic systems, modern control theory relies on accurate mathematical mod Add to Reading List Source URL: www.cs.unm.edu Language: English - Date: 2014-08-23 16:08:05 Science Adaptive control Kalman filter Robust control H-infinity methods in control theory Model predictive control State space Regression analysis Mathematical optimization Control theory Systems theory Cybernetics
207	McCreery Data Analysis template Add to Reading List Source URL: cires.colorado.edu Language: English - Date: 2014-09-17 15:31:48 Error Robust statistics Regression analysis Outlier Errors and residuals in statistics Data analysis Accuracy and precision Observational error Statistics Measurement Statistical theory
208	Robust Regression in R An Appendix to An R Companion to Applied Regression, Second Edition John Fox & Sanford Weisberg last revision: 15 December 2010 Abstract Add to Reading List Source URL: socserv.socsci.mcmaster.ca Language: English - Date: 2010-12-15 11:17:07 Robust statistics Econometrics Statistical inference Linear regression Ordinary least squares Robust regression Least squares M-estimator Gauss–Markov theorem Statistics Regression analysis Estimation theory
209	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: ftp.acc.umu.se 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
210	Simulations for Sharpening Wald-type Inference in Robust Regression for Small Samples Manuel Koller January 14, 2015 Contents Add to Reading List Source URL: stat.ethz.ch Language: English - Date: 2015-02-19 19:16:10 Estimation theory Parametric statistics Hypothesis testing Normal distribution Variance Ordinary least squares Standard deviation Linear regression Principal component analysis Statistics Data analysis Regression analysis

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