<--- Back to Details
First PageDocument Content
Design of experiments / Observational study / Business intelligence / Matching / Confounding / SAS / Logistic regression / Dummy variable / Stepwise regression / Statistics / Econometrics / Regression analysis
Date: 2004-04-15 08:55:44
Design of experiments
Observational study
Business intelligence
Matching
Confounding
SAS
Logistic regression
Dummy variable
Stepwise regression
Statistics
Econometrics
Regression analysis

SUGI 29 Statistics and Data Analysis Paper[removed]

Add to Reading List

Source URL: www2.sas.com

Download Document from Source Website

File Size: 45,25 KB

Share Document on Facebook

Similar Documents

Statistics / Regression analysis / Econometrics / Linear regression / Volatility / Stepwise regression / Economic model / Forecasting / Prediction / Economic forecasting / Predictive analytics / Unit-weighted regression

Getting the Most Out of Macroeconomic Information for Predicting Stock Returns and Volatility ∗ Cem C ¸ akmaklı†

DocID: 1pTlX - View Document

Statistical models / Regression analysis / Statistical theory / Factor analysis / Multivariate statistics / Model selection / Data analysis / Stepwise regression / Statistics / Exploratory data analysis / Regression validation / Multivariate analysis

Microsoft PowerPoint - 5_Model_Selection.pptx

DocID: 1p1FH - View Document

Econometrics / Regression analysis / Actuarial science / Stepwise regression / Ambulance / Emergency service / Prediction

CONSIDERING UNCERTAINTIES WITHIN AN EMERGENCY PREDICTION MODEL IN AN URBAN ENVIRONMENT Tonio Fincke, Jochen Schiewe, and Karl-Peter Traub Lab for Geoinformatics and Geovisualization(g 2 lab) HafenCity University Hamburg

DocID: 1ow2q - View Document

Regression analysis / Statistical methods / Model selection / Machine learning / Multivariate adaptive regression splines / Econometrics / Stepwise regression / Akaike information criterion / Smoothing spline / Bayesian information criterion

Non-parametric Regression with Basis Selection from Multiple Libraries Jeffrey C. Sklar, Junqing Wu, Wendy Meiring, and Yuedong Wang ∗

DocID: 1osRD - View Document

Statistics / Statistical inference / Estimation theory / Regression analysis / Nonparametric regression / Linear regression / Machine learning / Stepwise regression / Decision tree learning / Spike-and-slab variable selection / Omnibus test

The Annals of Applied Statistics 2014, Vol. 8, No. 3, 1750–1781 DOI: AOAS755 © Institute of Mathematical Statistics, 2014 VARIABLE SELECTION FOR BART: AN APPLICATION

DocID: 1n1vf - View Document