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Regression validation
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#	Item
171	Silva Fennica[removed]research articles The Most Similar Neighbour Reference in the Yield Prediction of Pinus kesiya Stands in Zambia Matti Maltamo and Kalle Eerikäinen Add to Reading List Source URL: www.silvafennica.fi Language: English - Date: 2013-05-07 07:03:40 Statistical inference Econometrics Multivariate statistics Canonical correlation Plot Parameter K-nearest neighbor algorithm Regression model validation Least squares Statistics Regression analysis Covariance and correlation
172	Validation of Multivariate Models with a Focus on Chemometric NIR Models IFPAC 2014 Annual Meeting Arlington, VA, January 23, 2014 Bogdan Kurtyka, Ph.D. Add to Reading List Source URL: www.fda.gov Language: English Science Ethology Food safety Quality management Systems engineering Verification and validation Validation Regression model validation Conceptual model Statistics Pharmaceutical industry Validity
173	Package ‘bartMachine’ September 5, 2014 Type Package Title Bayesian Additive Regression Trees Version[removed]Date[removed] Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-09-05 16:15:52 Econometrics Estimation theory Parametric statistics Linear regression Ordinary least squares Cross-validation Statistical power Statistical classification Multivariate adaptive regression splines Statistics Regression analysis Machine learning
174	North American CRO Council Model Validation Principles Applied to Risk and Capital Models in the Insurance Industry Add to Reading List Source URL: www.crocouncil.org. Language: English - Date: 2014-02-18 18:53:24 Clinical research Quality Validation Economic model Regression model validation Statistics Pharmaceutical industry Validity
175	bartMachine: Machine Learning with Bayesian Additive Regression Trees Adam Kapelner Justin Bleich Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-09-05 16:15:52 Decision trees Regression analysis Model selection Linear regression Random forest Gibbs sampling Decision tree learning Cross-validation Statistics Machine learning Econometrics
176	Thermodynamic product retrieval methodology and validation for NAST-I Daniel K. Zhou, William L. Smith, Jun Li, Hugh B. Howell, Greg W. Cantwell, Allen M. Larar, Robert O. Knuteson, David C. Tobin, Henry E. Revercomb, an Add to Reading List Source URL: www.goes-r.gov Language: English - Date: 2013-06-18 13:45:57 Econometrics Estimation theory Data analysis Atmospheric sounding Linear regression Atmospheric radiative transfer codes Principal component analysis Radiosonde Regression dilution Statistics Regression analysis Atmospheric thermodynamics
177	Data-Adaptive Super Learning to Predict Viral Rebound based on Electronic Adherence Monitoring An Analysis of the MACH-14 Cohort Consortium Maya Petersen, MD, PhD Add to Reading List Source URL: www.iapac.org Language: English - Date: 2013-04-03 01:40:25 Regression analysis Econometrics Viral load Virology HIV Cross-validation AIDS Training set Logistic regression Statistics HIV/AIDS Machine learning
178	Understanding predictive information criteria for Bayesian models∗ Andrew Gelman†, Jessica Hwang‡, and Aki Vehtari§ 14 Aug 2013 Abstract We review the Akaike, deviance, and Watanabe-Akaike information criteria fro Add to Reading List Source URL: www.stat.columbia.edu Language: English - Date: 2013-08-14 15:26:41 Machine learning Bayesian statistics Regression analysis Deviance information criterion Maximum likelihood Cross-validation Fisher information Akaike information criterion Bayesian information criterion Statistics Estimation theory Model selection
179	S TUPID DATA MINER TRICKS: O VERFITTI NG THE S&P 500 STUPID DATA MINER TRICKS : OVERFITTING THE S&P 500 David J. Leinweber, Ph.D. Caltech Add to Reading List Source URL: nerdsonwallstreet.typepad.com Language: English - Date: 2008-10-16 20:12:42 Econometrics Cross-validation Model selection Statistical tests Data mining Linear regression Overfitting Data dredging Errors and residuals in statistics Statistics Regression analysis Machine learning
180	Package ‘quadrupen’ July 2, 2014 Type Package Title Sparsity by Worst-Case Quadratic Penalties Version[removed]Date[removed] Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-07-02 16:11:23 Econometrics Estimation theory Regularization Parametric statistics Elastic net regularization Cross-validation Degrees of freedom Matrix Linear regression Statistics Regression analysis Machine learning

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