<--- Back to Details
First PageDocument Content
Categorical data / Statistical models / Single equation methods / Dummy variable / Logistic regression / Logit / Linear probability model / Odds ratio / Probit / Statistics / Regression analysis / Econometrics
Date: 2013-12-04 17:32:07
Categorical data
Statistical models
Single equation methods
Dummy variable
Logistic regression
Logit
Linear probability model
Odds ratio
Probit
Statistics
Regression analysis
Econometrics

Microsoft PowerPoint - MelbourneDay3_Dec2013.ppt [Compatibility Mode]

Add to Reading List

Source URL: melbourneinstitute.com

Download Document from Source Website

File Size: 271,38 KB

Share Document on Facebook

Similar Documents

Project 1 Report: Logistic Regression Si Chen and Yufei Wang Department of ECE University of California, San Diego La Jolla, 92093 {sic046, yuw176}@ucsd.edu

DocID: 1vnCp - View Document

Source-side Preordering for Translation using Logistic Regression and Depth-first Branch-and-Bound Search∗ Laura Jehl? ? Adri`a de Gispert‡

DocID: 1uXFc - View Document

Cheshire II at INEX: Using A Hybrid Logistic Regression and Boolean Model for XML Retrieval Ray R. Larson School of Information Management and Systems University of California, Berkeley Berkeley, California, USA,

DocID: 1uPm6 - View Document

Logistic Regression Mohammad Emtiyaz Khan EPFL Oct 8, 2015 ©Mohammad Emtiyaz Khan 2015

DocID: 1uMIX - View Document

Regional simulation and landslide risk prediction based on bivariate logistic regression (A case study: Pahne Kola watershed in northern Iran) Elyyeh Moafi Madani a, Hossein Hasani a, Mehdi Sadighi Hashtjin b, Marzieh Ho

DocID: 1uB6Y - View Document