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Least squares
Results: 2529

#	Item
881	Automatic Robot Calibration for the NAO Tobias Kastner1 , Thomas R¨ofer2 , and Tim Laue1 1 Universit¨ at Bremen, Fachbereich 3 – Mathematik und Informatik, Add to Reading List Source URL: www.informatik.uni-bremen.de Language: English - Date: 2014-12-03 12:29:43 Statistics Least squares Regression analysis Robot calibration Computer vision Computational physics Forward kinematics Non-linear least squares Nao Robotics Robot control Physics
882	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.sunet.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
883	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
884	icebreakeR Andrew Robinson Department of Mathematics and Statistics University of Melbourne Parkville, Vic. 3010 Add to Reading List Source URL: ftp.sunet.se Language: English - Date: 2010-12-19 04:13:33 Parametric statistics Estimation theory Time series analysis Bootstrapping Plot Q-Q plot Ordinary least squares Linear regression Errors and residuals in statistics Statistics Regression analysis Econometrics
885	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
886	CGTM #24 August 10, 1967 G. S. Watson Goodness-of-Fit of Curves Add to Reading List Source URL: www.slac.stanford.edu Language: English - Date: 2011-07-15 16:47:00 Degrees of freedom Normal distribution Errors and residuals in statistics Linear regression Statistical hypothesis testing Multivariate normal distribution Ordinary least squares Statistics Regression analysis Least squares
887	icebreakeR Andrew Robinson Department of Mathematics and Statistics University of Melbourne Parkville, Vic. 3010 Add to Reading List Source URL: stat.ethz.ch Language: English - Date: 2010-12-19 04:13:33 Parametric statistics Estimation theory Time series analysis Bootstrapping Plot Q-Q plot Ordinary least squares Linear regression Errors and residuals in statistics Statistics Regression analysis Econometrics
888	icebreakeR Andrew Robinson Department of Mathematics and Statistics University of Melbourne Parkville, Vic. 3010 Add to Reading List Source URL: cran.stat.upd.edu.ph Language: English - Date: 2010-12-19 04:13:33 Parametric statistics Estimation theory Time series analysis Bootstrapping Plot Q-Q plot Ordinary least squares Linear regression Errors and residuals in statistics Statistics Regression analysis Econometrics
889	icebreakeR Andrew Robinson Department of Mathematics and Statistics University of Melbourne Parkville, Vic. 3010 Add to Reading List Source URL: cran.ism.ac.jp Language: English - Date: 2010-12-19 04:13:33 Parametric statistics Estimation theory Time series analysis Bootstrapping Plot Q-Q plot Ordinary least squares Linear regression Errors and residuals in statistics Statistics Regression analysis Econometrics
890	From Blind to Quantitative Steganalysis Tom as Pevn ya , Jessi a Fridri hb , Andrew D. Ker a INPG - Gipsa-Lab, 961 b Department of Ele tri al Add to Reading List Source URL: www.cs.ox.ac.uk Language: English - Date: 2008-12-25 17:04:16 Econometrics Parametric statistics Least squares Embedding Linear regression Ordinary least squares Steganography Mean squared error Errors and residuals in statistics Statistics Estimation theory Regression analysis

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