Microsoft Word - IERI Academy Agenda Nov 2009.docx

Source URL: ierinstitute.org

• Statistics
• Statistical models
• Psychometrics
• Statistical methods
• Analysis of variance
• Regression analysis
• Item response theory
• Rasch model
• Mixed model
• AMPL
• Conceptual model
• Generalized linear mixed model

Paper 287 Fitting Nonlinear Mixed Models with the New NLMIXED Procedure Russell D. Wolfinger, SAS Institute Inc., Cary, NC ABSTRACT

Source URL: www.ats.ucla.edu

• Statistics
• Regression analysis
• Estimation theory
• Statistical theory
• Analysis of variance
• Statistical methods
• Generalized linear mixed model
• Mixed model
• Restricted maximum likelihood
• Generalized estimating equation
• Least squares
• Likelihood-ratio test

Models of Insurance Claim Counts with Time Dependence Based on Generalization of Poisson and Negative Binomial Distributions by Jean-Philippe Boucher, Michel Denuit, and Montserrat Guillén

Source URL: www.variancejournal.org

• Probability distributions
• Poisson distribution
• Generalized linear model
• Normal distribution
• Exponential family
• Negative binomial distribution
• Poisson regression
• Overdispersion
• Variance
• Compound Poisson distribution
• Mixed logit

Fitting GLMMs with glmmsr Helen Ogden Introduction Generalized linear mixed models (GLMMs) are an important and widely-used model class. In R, it is possible to fit these models with the lme4 package (Bates et al. 2015),

Source URL: mran.revolutionanalytics.com

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

Department of economics and society, Dalarna University

Source URL: www.statistics.du.se

• Land transport
• Car sharing
• Generalized linear model
• Opel Corsa
• Linear regression
• GLIM
• Ordinary least squares
• Least squares
• Generalized linear mixed model
• Statistics
• Transport
• Regression analysis

Evaluation of a New Variance Component Estimation Method Hierarchical GLM Approach with Application in QTL Analysis Author:

Source URL: www.statistics.du.se

• Data analysis
• Bayesian statistics
• Statistical theory
• Generalized linear model
• Maximum likelihood
• Expectation–maximization algorithm
• Normal distribution
• Mixed model
• Restricted maximum likelihood
• Statistics
• Estimation theory
• Regression analysis

0.1 logit.mixed: Mixed effects logistic Regression Use generalized multi-level linear regression if you have covariates that are grouped according to one or more classification factors. The logit model is appropriate wh

Source URL: perso.md2t.eu

MASTER THESIS IN MICRODATA ANALYSIS Computation and application of the spatial zero inflated count response Author: Shengqiang Guo

Source URL: www.statistics.du.se

• Econometrics
• Actuarial science
• Statistical methods
• Generalized linear model
• Linear regression
• Mixed model
• Least squares
• Random effects model
• Poisson distribution
• Statistics
• Regression analysis
• Statistical models

0.1 probit.mixed: Mixed effects probit Regression Use generalized multi-level linear regression if you have covariates that are grouped according to one or more classification factors. The probit model is appropriate wh

Source URL: perso.md2t.eu

• Statistical models
• Estimation theory
• Analysis of variance
• Linear regression
• Fixed effects model
• Probit model
• Random effects model
• Linear model
• Normal distribution
• Statistics
• Regression analysis
• Econometrics