2010•Unpublished venueRequires access

Introduction to General and Generalized Linear Models

Henrik Madsen, Poul Thyregod

Abstract

Bridging the gap between theory and practice for modern statistical model building, Introduction to General and Generalized Linear Models presents likelihood-based techniques for statistical modelling using various types of data. Implementations using R are provided throughout the text, although other software packages are also discussed. Numerous

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Key concepts: Generalized linear model, Bridging (networking), Computer science, Generalized linear mixed model, Statistical software, Implementation, Statistical model, Software