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Regression validation
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51	Predicting length of stay and assignment of diagnosis codes during hospital inpatient episodes José Carlos Ferrão, , Siemens Healthcare Mónica Duarte Oliveira, Add to Reading List Source URL: service-summit.ksri.kit.edu Language: English - Date: 2015-03-05 11:07:58 Model selection Data analysis Business intelligence Logistic regression Cross-validation Electronic health record Feature selection Data mining Stepwise regression Statistics Machine learning Regression analysis
52	Ozone-CCI: on uncertainty estimates and their validation The Ozone_cci team Outlines Add to Reading List Source URL: cci.esa.int Language: English - Date: 2014-11-04 01:35:11 Data analysis Regression analysis Envisat Spaceflight Variance Standard error Uncertainty Errors and residuals in statistics Statistics Measurement Statistical theory
53	IEA EBC Annex 58 Reliable building energy performance characterisation based on full scale dynamic measurements Guidelines for data analysis from dynamic experimental Add to Reading List Source URL: smart-cities-centre.org Language: English - Date: 2015-05-11 06:53:35 Estimation theory Linear regression Regression model validation Nonlinear system Parameter Statistics Regression analysis Econometrics
54	Copyright © 2012 by Statistical Innovations Inc. All rights reserved. Tutorial 4. Prediction with Near Infrared (NIR) Data Add to Reading List Source URL: statisticalinnovations.com Language: English - Date: 2013-04-17 11:18:38 Partial least squares regression XLSTAT Training set Standardized coefficient Cross-validation Validation Regularization Degrees of freedom Statistics Machine learning Regression analysis
55	Microsoft Word - ~doc Add to Reading List Source URL: www.baltex-research.eu Language: English - Date: 2009-09-14 11:02:07 Air dispersion modeling SMHI Billy Meier Windows Installer Validation Regression model validation Baltic Proper Pseudoscience Statistics System software
56	Running an ANCOVA in XLSTAT demoANCO.xls Dataset for running an ANCOVA An Excel sheet with both the data and results used in this tutorial can be downloaded by clicking here. Add to Reading List Source URL: statisticalinnovations.com Language: English - Date: 2011-11-17 13:32:24 Errors and residuals in statistics Linear regression Coefficient of determination Analysis of variance Qualitative data Regression model validation Least squares Statistics Regression analysis Analysis of covariance
57	Tutorial 3. Obtaining Predictions from a 2-class Regression This tutorial1 illustrates a reanalysis of data analyzed by Tenenhaus, et al): Tenenhaus, M., Pagès, J., Ambroisine L. and & Guinot, C); PLS met Add to Reading List Source URL: statisticalinnovations.com Language: English - Date: 2013-04-17 11:17:43 Cross-validation XLSTAT Statistics Regression analysis Coefficient of determination
58	CenEA Microsimulation Report MR01/14 Data and model cross-validation to improve accuracy of microsimulation results: estimates for the Polish Household Budget Survey Add to Reading List Source URL: www.cenea.org.pl Language: English - Date: 2014-03-20 12:46:27 Macroeconomics Microsimulation Simulation software Regression analysis Census Sampling Demography Calibration Statistics Survey methodology Population
59	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
60	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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