Applied Statistical Methods in Animal Science

Abstract

Refresh matrix operations and solving of systems of linear equations using the generalised inverse. Introduction to theory and application of linear models: regression, models with fixed effects (one factor, multiple factors, interactions), models with random effects, mixed models. Assignments using the statistics programmes R and SAS.

Objective

The students are familiar with matrix operations and the solving of systems of linear equations. They know the possibilities to solve systems of linearly dependent equations using the generalized inverse. They are able to analyse animal science data with linear models and to interpret the results. They know the difference between fixed and random effects. They are able to set up and solve linear models with the statistics programmes R and SAS.

Content

- Matrix algebra, systems of linear equations, generalised inverse - Linear models with fixed effects: - Regression: simple linear, multiple, non linear regression - Models with 1 factor, 2 factors (without and with interaction), generalisation - Linear models with random effects, mixed linear models

Resources