How can I choose the best (parsimonious) description of my data? Here is my mental map of choice criteria when I consider what Generalized Linear Model (GLM) to rely on.
Let's assume I want to describe the relationship (β) between an independent variable (x) and a dependent variable (y) in the form of:
y = α + βx + ε
Let's furthermore assume that the ideal description is not only parsimonious (i.
Master's/PhD level. University of Oslo. Department of Political Science. 2020
# Advanced statistical analysis for political scientists. We go through the fundamental principals of causal inference as well as the most common generalized linear models (GLMs). Course given together with Øyvind Stiansen.
`laerdegR`-pakken er en nettressurs som gir deg tilgang til datasett og oppgaveløsninger som hører til Lær deg R-boka. Her finner du instrukser til hvordan laste denne ned.