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Linear least squares
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#	Item
391	A Fast Parsimonious Maximum Likelihood Approach for Predicting Outcome Variables from a Large Number of Predictors Jay Magidson Statistical Innovations Inc. Belmont, Massachusetts, United States jay@statisticalinnovation Add to Reading List Source URL: statisticalinnovations.com Language: English - Date: 2012-06-18 09:40:05 Statistical models Actuarial science Single equation methods Logistic regression Linear regression Dummy variable Partial least squares regression Least squares Generalized linear model Statistics Regression analysis Econometrics
392	Tutorial 1 Getting Started with Correlated Regression (CCR) in XLSTAT-CCR Component Add to Reading List Source URL: statisticalinnovations.com Language: English - Date: 2013-04-17 11:16:19 Standardized coefficient Partial least squares regression Ordinary least squares Least squares XLSTAT Unit-weighted regression Statistics Regression analysis Linear regression
393	Health Sciences M.Sc. Programme Applied Biostatistics Week 10: Multiple regression More than one predictor Add to Reading List Source URL: www-users.york.ac.uk Language: English - Date: 2012-03-01 07:29:18 Dummy variable Linear regression Simple linear regression Multiple correlation Coefficient of determination Ordered logit Least squares Errors and residuals in statistics Odds ratio Statistics Regression analysis Logistic regression
394	Applied Biostatistics Correlation and regression Martin Bland Professor of Health Statistics University of York Add to Reading List Source URL: www-users.york.ac.uk Language: English - Date: 2012-02-29 05:32:06 Parametric statistics Statistical dependence Econometrics Correlation and dependence Pearson product-moment correlation coefficient Simple linear regression Linear regression Least squares Scatter plot Statistics Regression analysis Covariance and correlation
395	c Springer-Verlag Probabilistic Discriminative Kernel Classifiers for Multi-class Problems Volker Roth Add to Reading List Source URL: cs-wwwarchiv.cs.unibas.ch Language: English - Date: 2007-12-03 08:49:16 Support vector machine Linear discriminant analysis Discriminative model Kernel methods Regression analysis Linear classifier Least squares support vector machine Statistics Statistical classification Machine learning
396	Running a simple linear regression in XLSTAT demoReg.xls Dataset for running a linear regression An Excel sheet with both the data and results can be downloaded by clicking here. Add to Reading List Source URL: statisticalinnovations.com Language: English - Date: 2011-11-17 13:31:38 Linear regression Errors and residuals in statistics Coefficient of determination Analysis of covariance Ordinary least squares Nonlinear regression Statistics Regression analysis Simple linear regression
397	Intergenerational Mobility in Britain: Revisiting the Prediction Approach of Dearden, Machin and Reed* by Ramses Abul Naga Add to Reading List Source URL: eprints.lse.ac.uk Language: English - Date: 2010-10-01 04:46:50 Ordinary least squares Simultaneous equations model Linear regression Errors-in-variables models Instrumental variable Least squares Bias of an estimator Statistics Regression analysis Econometrics
398	PDF Document Add to Reading List Source URL: www.softintegration.com Language: English - Date: 2004-10-25 19:49:07 Time series analysis Statistical tests Durbin–Watson statistic Covariance and correlation Autocorrelation Linear regression Least squares Breusch–Godfrey test Statistics Econometrics Regression analysis
399	Copyright © 2011 by Statistical Innovations Inc. All rights reserved. (version: Tutorial 5: Prediction with Near Infrared (NIR) Data in CORExpress® Dataset for running CCR Linear Regression (CCR.lm) This t Add to Reading List Source URL: statisticalinnovations.com Language: English - Date: 2012-01-06 07:31:30 Econometrics Statistical inference Cross-validation Model selection Partial least squares regression Linear regression SPSS Regularization Overfitting Statistics Regression analysis Machine learning
400	Hierarchical Probabilistic Regression for AUV-based Adaptive Sampling of Marine Phenomena Jnaneshwar Das∗ , Julio Harvey† , Frédéric Py† , Harshvardhan Vathsangam∗ , Rishi Graham† , Kanna Rajan† , Gaurav S. Add to Reading List Source URL: robotics.usc.edu Language: English - Date: 2013-10-18 14:26:11 Geostatistics Machine learning Linear filters Kriging Cross-validation Kalman filter Least squares Spatial analysis Unscented transform Statistics Regression analysis Control theory

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