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Least squares
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#	Item
421	icebreakeR Andrew Robinson Department of Mathematics and Statistics University of Melbourne Parkville, Vic. 3010 Add to Reading List Source URL: cran.mirror.ac.za 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
422	Comparing performance and robustness of SVM and ANN for fault diagnosis in a centrifugal pump Add to Reading List Source URL: www.mssanz.org.au Language: English - Date: 2013-01-15 22:31:53 Learning Statistical classification Support vector machines Stability Empirical risk minimization Perceptron Artificial neural network Least squares support vector machine Machine learning Statistics Neural networks
423	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.parentingamerica.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
424	AVATARS2000, , Lausanne, Switzerland MOTION CAPTURE BY LEAST SQUARES MATCHING TRACKING ALGORITHM Nicola D’Apuzzo Institute of Geodesy and Photogrammetry (IGP) Add to Reading List Source URL: www.hometrica.ch Language: English - Date: 2007-05-18 10:40:51 Cartography Geodesy Photogrammetry Surveying Motion analysis Gesture recognition Motion capture Bundle adjustment LSM Computer vision Vision Imaging
425	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.ms.unimelb.edu.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
426	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: www.vps.fmvz.usp.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
427	The Impact of Design Properties on Development Cost in Object-Oriented Systems Jürgen Wüst Fraunhofer Institute for Experimental Software Engineering Sauerwiesen 6 Add to Reading List Source URL: www.sdmetrics.com Language: English - Date: 2002-12-27 10:09:24 Linear regression Software development effort estimation Cross-validation Ordinary least squares Generalized linear model Binomial regression Least squares Outline of regression analysis Statistics Regression analysis Poisson regression
428	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.espol.edu.ec 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
429	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.biodisk.org 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
430	Multivariate Online Anomaly Detection Using Kernel Recursive Least Squares Tarem Ahmed and Mark Coates Anukool Lakhina Add to Reading List Source URL: www.tsp.ece.mcgill.ca Language: English - Date: 2007-02-19 11:48:18 Linear algebra Multivariate statistics Singular value decomposition Abstract algebra Kernel principal component analysis Signal processing Principal component analysis Vector space Anomaly detection Algebra Statistics Mathematics

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