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Linear least squares
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#	Item
421	Approximate Generalized Inverse Preconditioning Methods for Least Squares Problems Xiaoke Cui DOCTOR OF Add to Reading List Source URL: www.nii.ac.jp Language: English - Date: 2010-03-08 19:45:47 Regression analysis Statistics Preconditioner Least squares Iterative method Linear least squares Generalized minimal residual method Matrix Mathematical optimization Numerical linear algebra Numerical analysis Mathematics
422	Regularized Regression David M. Blei Columbia University December 3, 2014 Modern regression problems are high dimensional, which means that the number of covariates p is large. In practice statisticians regularize their Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2015-03-12 00:16:19 Econometrics Least squares Parametric statistics Regularization Linear regression Tikhonov regularization Elastic net regularization Mean squared error Maximum likelihood Statistics Estimation theory Regression analysis
423	24551 Quantile Regression – A Statisticians Approach to the Local Ice PressureArea Relationship Tom Morrison and Paul Spencer, Ausenco, Calgary, Alberta, CANADA Copyright 2014, Offshore Technology Conference This paper Add to Reading List Source URL: www.ausenco.com Language: English - Date: 2014-03-12 20:42:25 Quantile Linear regression Simple linear regression Power law Normal distribution Standard error Least squares Confidence band Median Statistics Regression analysis Quantile regression
424	syllabus_PHS_552_Spring2012 Add to Reading List Source URL: pophealth.wisc.edu Language: English - Date: 2012-10-17 10:25:20 Logistic regression Proportional hazards models Regression Coefficient of determination Least squares Separation Predictive analytics Statistics Regression analysis Linear regression
425	Coal Seam Thickness Prediction based on Least Squares Support Vector Machines and Kriging Method Chen Youkuo School of Resource and Earth Science, Key Laboratory of CBM Resources and Reservoir Formation Process of Minist Add to Reading List Source URL: www.ejge.com Language: English - Date: 2015-01-03 20:12:27 Regression analysis Multivariate interpolation Statistical classification Variogram Kriging Least squares support vector machine Support vector machine Linear interpolation Linear regression Statistics Geostatistics Interpolation
426	(Reprinted from the 2010 American Statistical Association Proceedings with Edits) Correlated Component Regression: A Prediction/Classification Methodology for Possibly Many Features Jay Magidson Add to Reading List Source URL: statisticalinnovations.com Language: English - Date: 2011-03-09 08:57:01 Logistic regression Principal component regression Linear discriminant analysis Separation Multicollinearity Stepwise regression Standardized coefficient Least squares Multinomial logit Statistics Regression analysis Linear regression
427	International Journal of Computer Science & Emerging Technologies (IJCSET) Volume 1 Issue 1, JuneAnalysis of VoIP Signal Processing for Add to Reading List Source URL: ijcset.excelingtech.co.uk Language: English - Date: 2010-11-18 13:33:32 Signal processing Code-excited linear prediction Voice over IP Least mean squares filter Adaptive filter Speech coding Jitter Digital signal processing Electronics Electronic engineering
428	Multivariate Linear Models in R An Appendix to An R Companion to Applied Regression, Second Edition John Fox & Sanford Weisberg last revision: 28 July 2011 Add to Reading List Source URL: socserv.socsci.mcmaster.ca Language: English - Date: 2011-07-28 10:59:29 General linear model Multivariate analysis of variance Analysis of variance Total sum of squares Linear regression Degrees of freedom Least squares F-test Normal distribution Statistics Regression analysis Iris flower data set
429	Copyright © 2011 by Statistical Innovations Inc. All rights reserved. (version: Getting Started with Correlated Component Regression (CCR) in CORExpress® Dataset for running CCR Linear Regression (CCR.lm) Add to Reading List Source URL: statisticalinnovations.com Language: English - Date: 2011-09-12 15:01:46 Estimation theory Parametric statistics Least squares Linear regression Ordinary least squares Standardized coefficient SPSS Statistics Regression analysis Econometrics
430	Time-Series Regression and Generalized Least Squares in R An Appendix to An R Companion to Applied Regression, Second Edition John Fox & Sanford Weisberg last revision: 11 November 2010 Add to Reading List Source URL: socserv.socsci.mcmaster.ca Language: English - Date: 2010-11-11 18:20:15 Autocorrelation Ordinary least squares Generalized least squares Errors and residuals in statistics Least squares Standard error Newey–West estimator Linear regression Statistics Regression analysis Durbin–Watson statistic

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