Predicting the Construction of New Highway Links DAVID LEVINSON University of Minnesota RAMACHANDRA KARAMALAPUTI Capital One

Source URL: nexus.umn.edu

• Statistical models
• Econometrics
• Transportation planning
• Categorical data
• Discrete choice
• Route assignment
• Logit
• Mixed logit
• Logistic regression
• Statistics
• Economics
• Regression analysis

A Mode of Zero: Strategies for Education Data with Cases of Zero Lauren M. Porter May 19, 2015 Distribution Types

Source URL: www.modeling.uconn.edu

• Econometrics
• Model selection
• Data analysis
• Poisson regression
• Logit
• Binomial regression
• Poisson distribution
• Count data
• Logistic regression
• Statistics
• Regression analysis
• Categorical data

Presidential votes homework Download the data from the class website. The data contains a survey of how people voted with data for many election years. Let’s focus on the 2000 election. We can use the keep or drop c

Source URL: mason.gmu.edu

• Categorical data
• Actuarial science
• Single equation methods
• Logit
• Linear regression
• Probit
• Logistic regression
• Dummy variable
• Statistics
• Regression analysis
• Econometrics

The Welfare Analysis of Product Innovations, with an Application to Computed Tomography Scanners Author(s): Manuel Trajtenberg Source: The Journal of Political Economy, Vol. 97, No. 2 (Apr., 1989), ppPublished

Source URL: www.hep.ucl.ac.uk

• Categorical data
• Regression analysis
• Statistical models
• Discrete choice
• Logit
• Choice modelling
• Manuel Trajtenberg
• Hedonic regression
• Logistic regression
• Economics
• Statistics
• Econometrics

MOOC Research Initiative Final Report Project Title: Peer Assessment and Academic Achievement in a Gateway MOOC Project Details Project Lead: Mark Warschauer

Source URL: www.moocresearch.com

• Epidemiology
• Medical statistics
• Massive open online course
• Online education
• Logistic regression
• University of California
• Irvine
• Relative risk
• Multinomial logit
• Odds ratio
• Statistics
• Regression analysis
• Econometrics

A compositional approach to sociophonetic variation Daniel Ezra Johnson, Lancaster University Carmen Llamas, University of York Dominic Watt, University of York

Source URL: www.danielezrajohnson.com

• Logistic regression
• Linear regression
• Multinomial logit
• Errors and residuals in statistics
• Regression
• Separation
• Statistics
• Regression analysis
• Econometrics

PDF Document

Source URL: www.e-logit.com

Correlated Component Regression (CCR) Use this module to model and predict a designated dependent variable Y (continuous or dichotomous) from a set of P correlated explanatory variables (predictors) X = (X1, X2, … , XP

Source URL: www.statisticalinnovations.com

• Partial least squares regression
• Linear regression
• Linear discriminant analysis
• Multicollinearity
• Generalized linear model
• Least squares
• Cross-validation
• Multinomial logit
• Nonparametric regression
• Statistics
• Regression analysis
• Logistic regression

Destination Choice Models for Rock Climbing in the Northeastern Alps: A Latent-Class Approach Based on Intensity of Preferences Riccardo Scarpa and Mara Thiene ABSTRACT. Rock climbers are likely to exhibit preference het

Source URL: www.statisticalinnovations.com

• Categorical data
• Regression analysis
• Transportation planning
• Discrete choice
• Choice modelling
• Mixed logit
• Trip distribution
• Maximum likelihood
• Logit
• Statistics
• Statistical models
• Estimation theory

CHAPTER 5. BASIC STEPS FOR MODEL DEVELOPMENT

Source URL: www.statisticalinnovations.com

• Categorical data
• Statistical methods
• Estimation theory
• Linear regression
• Logistic regression
• Poisson regression
• Factor analysis
• Multinomial logit
• Binomial regression
• Statistics
• Regression analysis
• Econometrics