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Least squares
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#	Item
771	(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
772	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
773	The detection algorithm is based on the rank R = ∑i wi nneg(mi - ai ) Where the sum goes over the 12 filter bank channels (RMS values) , i=1…12. R is calculated using weights wi , running average amplitudes ai (calcu Add to Reading List Source URL: babeta.ufa.cas.cz Language: English - Date: 2013-03-12 16:02:49 Non-parametric statistics Least squares Mathematical optimization Monte Carlo methods
774	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
775	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
776	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
777	Reconciling the System of U.S. Accounts and Distribution of the Aggregate Statistical Discrepancy (First Draft. Please do not circulate) Baoline Chen Bureau of Economic Analysis Add to Reading List Source URL: www.iioa.org Language: English - Date: 2011-01-31 23:32:17 Official statistics Economic indicators Least squares Gross domestic product Generalized least squares Normal distribution National Income and Product Accounts Standard deviation United Nations System of National Accounts Statistics National accounts Regression analysis
778	Environmental Pollution–265 www.elsevier.com/locate/envpol Fish mercury levels in lakes—adjusting for Hg and ﬁsh-size covariation Lars Sonesten* Add to Reading List Source URL: www.detoxmetals.com Language: English - Date: 2014-07-15 02:36:23 Linear regression Chemometrics Partial least squares regression Dummy variable Multicollinearity Statistics Regression analysis Econometrics
779	Microsoft PowerPoint - JohnAlexpres Add to Reading List Source URL: ocw.mit.edu Language: English - Date: 2015-03-15 17:01:43 Cybernetics Genetic algorithm Parameter Structure Function Non-linear least squares Mathematics Mathematical optimization Operations research
780	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

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