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Regression validation
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#	Item
111	20th International Congress on Modelling and Simulation, Adelaide, Australia, 1–6 December 2013 www.mssanz.org.au/modsim2013 Long Term Water Demand Forecasting: Use of Monte Carlo Cross Validation for the Best Model Se Add to Reading List Source URL: www.mssanz.org.au Language: English - Date: 2013-11-19 22:12:48 Forecasting Multicollinearity Chemometrics Cross-validation Calibration Ordinary least squares Statistics Regression analysis Linear regression
112	JOURNAL OF CHEMOMETRICS J. Chemometrics 2005; 19: 107–118 Published online 22 September 2005 in Wiley InterScience (www.interscience.wiley.com). DOI: cem.915 The prediction error in CLS and PLS: the importance Add to Reading List Source URL: www.wisdom.weizmann.ac.il Language: English - Date: 2006-02-15 15:59:38 Partial least squares regression Linear regression Multivariate normal distribution Cross-validation Principal component analysis Ordinary least squares Linear discriminant analysis Least squares Calibration Statistics Regression analysis Chemometrics
113	Hydrol. Earth Syst. Sci., 14, 1931–1941, 2010 www.hydrol-earth-syst-sci.netdoi:hess © Author(sCC Attribution 3.0 License. Hydrology and Add to Reading List Source URL: www.hydrol-earth-syst-sci.net Language: English - Date: 2014-12-04 02:42:08 Machine learning Regression analysis Business intelligence Artificial neural network Hydrological modelling Linear regression Training set Cross-validation Hydrology Statistics Econometrics Computational neuroscience
114	SPM Users Guide RandomForests Modeling Basics This guide provides an introduction into RandomForests Modeling Basics. Title: RandomForests Modeling Basics Short Description: This guide provides an introduction into Rando Add to Reading List Source URL: media.salford-systems.com Language: English - Date: 2013-08-07 00:04:46 Statistical inference Econometrics Statistical methods Cross-validation Bootstrapping K-nearest neighbor algorithm Nonparametric regression Statistics Machine learning Regression analysis
115	SPM Users Guide Introducing Generalized PathSeeker This guide provides a brief introduction to GPS as well as a guide insight for model interpretation. Introducing Generalized PathSeeker Add to Reading List Source URL: media.salford-systems.com Language: English - Date: 2013-08-07 00:03:52 Stepwise regression Linear regression Coefficient of determination Ordinary least squares Cross-validation Mean squared error Akaike information criterion Predictive analytics Durbin–Watson statistic Statistics Regression analysis Logistic regression
116	DECEMBER[removed]MIELKE ET AL. 847 Add to Reading List Source URL: tropical.atmos.colostate.edu Language: English - Date: 2005-02-02 13:19:30 Linear regression Cross-validation Coefficient of determination Multiple correlation Errors and residuals in statistics Linear discriminant analysis Least squares Statistics Regression analysis Lysergic acid diethylamide
117	Journal of Vegetation Science 15: [removed], 2004 © IAVS; Opulus Press Uppsala. - Comparison of statistical methods commonly used in predictive modelling[removed] Add to Reading List Source URL: media.salford-systems.com Language: English - Date: 2013-07-26 03:41:39 Multivariate adaptive regression splines Linear regression Multicollinearity Decision tree learning Additive model Regression model validation Logistic regression Predictive modelling Predictive analytics Statistics Regression analysis Nonparametric regression
118	Joint Kernel Support Estimation for Structured Prediction Christoph H. Lampert, Matthew B. Blaschko {chl, blaschko}@tuebingen.mpg.de Max Planck Institute for Biological Cybernetics, T¨ ubingen, Germany Add to Reading List Source URL: www.is.tuebingen.mpg.de Language: English - Date: 2011-01-20 08:12:39 Support vector machines Pattern recognition Kernel Cross-validation Perceptron Regression analysis Structured SVM Least squares support vector machine Statistics Machine learning Statistical classification
119	Microcomputers in Civil Engineering[removed]–276 Using Machine Learning, Neural Networks, and Statistics to Predict Corporate Bankruptcy P. P. M. Pompe∗ University of Twente, School of Management Science, 7500 Add to Reading List Source URL: doc.utwente.nl Language: English - Date: 2011-08-28 11:12:33 Computational neuroscience Multivariate statistics Regression analysis Linear discriminant analysis Logistic regression Cross-validation Neural network Statistical power Statistical model Statistics Machine learning Statistical classification
120	Estimating trends in the total fertility rate with uncertainty using imperfect data: Examples from West Africa Add to Reading List Source URL: www.stat.washington.edu Language: English - Date: 2012-05-12 17:28:54 Fertility Measurement Total fertility rate Econometrics Demographic and Health Surveys Cross-validation Linear regression Observational error Sub-replacement fertility Statistics Demography Population

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