Preface T his book aims to provide a broad introduction to the R statistical computing environment (R Development Core Team, 2009a) in the context of applied regression analysis, which is typically studied by social scie

Source URL: socserv.mcmaster.ca

Statistical Learning, FallAssignment 2: Classification The purpose of this exercise is to compare the Naive Bayes (NB) model to Logistic Regression (LR) on data with categorical attributes. We will first train/fit

Source URL: www.timvanerven.nl

• Econometrics
• Actuarial science
• Statistical classification
• Naive Bayes classifier
• Training set
• Logistic regression
• Overfitting
• Generalized linear model
• Supervised learning
• Statistics
• Regression analysis
• Machine learning

Online Appendix for “Managerial risk-taking incentives and corporate pension policy” by Divya Anantharaman and Yong Gyu Lee This document provides supplemental analyses and robustness tests to the main results presen

Source URL: jfe.rochester.edu

• Estimation theory
• Fixed effects model
• Variable
• Asset allocation
• Mathematics
• Regression analysis
• Statistics
• Analysis of variance

Testing fit patterns with polynomial regression models Felix Schönbrodt Ludwig-Maximilians-Universität München, Germany RA FT

Source URL: www.psy.lmu.de

• Akaike information criterion
• Polynomial regression
• Coefficient of determination
• Degrees of freedom
• Curve fitting
• Cross-validation
• Model selection
• Nonparametric regression
• Statistics
• Regression analysis
• Linear regression

New Subsampling Algorithms for Fast Least Squares Regression Paramveer S. Dhillon1 Yichao Lu2 Dean Foster2 Lyle Ungar1 1

Source URL: www.pdhillon.com

• Parametric statistics
• Probability theory
• Multivariate statistics
• Randomized algorithm
• Ordinary least squares
• Linear regression
• Multivariate random variable
• Variance
• Algorithm
• Statistics
• Estimation theory
• Regression analysis

INTERNATIONAL JOURNAL OF CLIMATOLOGY Int. J. ClimatolPublished online in Wiley InterScience (www.interscience.wiley.com) DOI: jocShort Communication

Source URL: hadobs.metoffice.com

• Time series analysis
• Econometrics
• Climate history
• Trend estimation
• Regression analysis
• Linear regression
• Temperature record
• Climate
• Forecasting
• Statistics
• Estimation theory
• Statistical forecasting

Microsoft Word - D10_KCL.doc

Source URL: www.cru.uea.ac.uk

• Non-parametric statistics
• Actuarial science
• Linear regression
• Rain
• Stepwise regression
• Resampling
• Precipitation
• Statistics
• Regression analysis
• Econometrics

Ghostscript wrapper for C:rstumentspsjginal-1.pdf

Source URL: ageconsearch.umn.edu

• Estimation theory
• Heteroscedasticity-consistent standard errors
• Generalized method of moments
• Linear regression
• Instrumental variable
• Estimator
• Heteroscedasticity
• T-statistic
• Maximum likelihood
• Statistics
• Econometrics
• Regression analysis

6:03 pm, May 17, 2013 storrs, may 2013      WHAT    ON    EARTH    ARE    WE    

Source URL: www.modeling.uconn.edu

• Vehicle Identification Number
• Economics
• Operator theory
• Science
• Z-transform
• Mutual information
• Econometrics
• Instrumental variable
• Regression analysis

Spatial-temporal association between fine particulate matter and daily mortality 1 Jungsoon Choi, Montserrat Fuentes, and Brian J. Reich Abstract Fine particulate matter (PM2.5 ) is a mixture of pollutants that has been

Source URL: www4.stat.ncsu.edu

• Actuarial science
• Estimation theory
• Linear regression
• Nonparametric regression
• Air pollution
• Poisson regression
• Generalized linear model
• Spatial epidemiology
• Statistics
• Regression analysis
• Econometrics