Generalized Linear Mixed Models (illustrated with R on Bresnan et al.’s datives data) Christopher Manning 23 November 2007 In this handout, I present the logistic model with fixed and random effects, a form of Generali

Source URL: nlp.stanford.edu

• Categorical data
• Statistical models
• Actuarial science
• Logistic regression
• Logit
• Logistic function
• Data analysis
• Linear regression
• Dummy variable
• Statistics
• Regression analysis
• Econometrics

Logistic regression (with R) Christopher Manning 4 November

Source URL: nlp.stanford.edu

• Model selection
• Actuarial science
• Deviance
• Hypothesis testing
• Logistic regression
• Logit
• Akaike information criterion
• Logistic function
• Degrees of freedom
• Statistics
• Categorical data
• Regression analysis

A NEW METHOD OF DETECTING THE POWER OF MISSPECIFIED LINK FUNCTIONS IN LOGISTIC REGRESSION MODEL Shibru Temesgen, Lecturer, Department of Statistics Addis Ababa University, Ethiopia, P.o.Box 1176 E-Mail Address: Shibru@gm

Source URL: www.statistics.gov.hk

Modeling Two Types of Peace: The Zero-inflated Ordered Probit (ZiOP) Model in Conflict Research∗ Benjamin E. Bagozzi,† Daniel W. Hill, Jr.,‡ Will H. Moore,§ and Bumba Mukherjee† February 7, 2013

Source URL: myweb.fsu.edu

• Categorical data
• Probit model
• Logistic regression
• Ordered probit
• Probit
• Ordered logit
• Statistical model
• Variable
• Instrumental variable
• Statistics
• Regression analysis
• Econometrics

Microsoft Word - catdata-submitted-updatedlater_093007_final.doc

Source URL: nlp.stanford.edu

• Statistical models
• Econometrics
• Statistical tests
• Logistic regression
• Logit
• Analysis of variance
• Mixed logit
• Odds
• Statistical power
• Statistics
• Regression analysis
• Categorical data

Learning Structured Models with the AUC Loss and Its Generalizations Nir Rosenfeld Hebrew University Jerusalem, Israel

Source URL: www.cs.huji.ac.il

• Structured SVM
• Regression analysis
• Econometrics
• Structured prediction
• American University in Cairo
• Receiver operating characteristic
• Combinatory logic
• Logistic regression
• Bayesian network
• Statistics
• Statistical classification
• Machine learning

Section on Survey Research Methods Microdata Simulation for Confidentiality Protection Using Regression Quantiles and Hot Deck Jennifer C. Huckett, Michael D. Larsen Iowa State University, Department of Statistics, Ames

Source URL: www.amstat.org

• Linear regression
• Quantile
• Synthetic data
• Imputation
• Logistic regression
• Normal distribution
• Least squares
• Correlation and dependence
• Plot
• Statistics
• Regression analysis
• Quantile regression

FACULTEIT ECONOMIE EN BEDRIJFSKUNDE TWEEKERKENSTRAAT 2 B-9000 GENT Tel. Fax.

Source URL: www.feb.ugent.be

• Quantile regression
• Linear regression
• Quantile
• Dummy variable
• Logistic regression
• Prediction interval
• Normal distribution
• Probit
• Multicollinearity
• Statistics
• Regression analysis
• Econometrics

6.867 Machine learning, lecture 5 (Jaakkola) 1 Linear regression, active learning We arrived at the logistic regression model when trying to explicitly model the uncertainty

Source URL: ocw.mit.edu

• Variance
• Mean squared error
• Linear regression
• Statistics
• Estimation theory
• Normal distribution

Proceedings of the 3rd INFORMS Workshop on Data Mining and Health Informatics (DM-HIJ. Li, D. Aleman, R. Sikora, eds. AN INFORMATION VISUALIZATION APPROACH TO CLASSIFICATION AND ASSESSMENT OF DIABETES RISK IN PRIM

Source URL: www.cs.cmu.edu

• Nutrition
• Linear discriminant analysis
• Principal component analysis
• Logistic regression
• Diabetes mellitus
• Data analysis
• Low-density lipoprotein
• Framingham Risk Score
• Statistics
• Multivariate statistics
• Statistical classification