Introduction to Generalized Linear Models - WU
general linear models are not appropriate I the range of Y is restricted (e.g. binary, count) I the variance of Y depends on the mean Generalized linear models extend the general linear model framework to address both of these issues
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Introduction to Generalized Linear Models
statmath.wu.ac.atIntroduction Generalized Linear Models Structure For example, a common remedy for the variance increasing with the mean is to apply the log transform, e.g.
Introduction to Structural Equation Modelling
statmath.wu.ac.atIntroduction to Structural-Equation Modelling 1 1. Introduction • Structural-equation models (SEMs) are multiple-equation regression models in which the response variable in one regression equation can appear as an explanatory variable in another equation.
Panel Data Models
statmath.wu.ac.atContent I Data structures: Times series, cross sectional, panel data, pooled data I Static linear panel data models: fixed effects, random effects, estimation, testing I Dynamic panel data models…
Item Response Theory in R using Package ltm
statmath.wu.ac.at1.1 Introduction † A number of item response models exist in the statistics and psychometric literature for the analysis of multiple discrete responses † Goals of this talk:. brief review of standard IRT models. estimation using marginal maximum likelihood. implementation in the freely available R package ltm Seminar WU Wirtschaftsuniversit˜at Wien { Jan 12th, 2010 2/26
Practical statistical network analysis (with R and igraph
statmath.wu.ac.atPractical statistical network analysis (with R and igraph) G´abor Cs´ardi csardi@rmki.kfki.hu Department of Biophysics, KFKI Research Institute for Nuclear and Particle Physics of the
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