<--- Back to Details
First PageDocument Content
Regression analysis / Scientific method / Baton Rouge metropolitan area / Baton Rouge /  Louisiana / Louisiana / Data analysis / Generalized linear mixed model / Generalized additive model for location /  scale and shape / Mathematical model / Science / Information / Statistics
Date: 2014-06-23 15:59:22
Regression analysis
Scientific method
Baton Rouge metropolitan area
Baton Rouge
Louisiana
Louisiana
Data analysis
Generalized linear mixed model
Generalized additive model for location
scale and shape
Mathematical model
Science
Information
Statistics

Microsoft Word - singhAbstract.doc

Add to Reading List

Source URL: www.stat.lsu.edu

Download Document from Source Website

File Size: 2,17 MB

Share Document on Facebook

Similar Documents

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

Microsoft Word - IERI Academy Agenda Nov 2009.docx

DocID: 1qOoV - View Document

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

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

DocID: 1qGyW - View Document

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

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

DocID: 1omZn - View Document

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),

DocID: 1m8Fm - View Document

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

DocID: 1lY1Z - View Document