# 751-7602-00L Applied Statistical Methods in Animal Science

Semester | Spring Semester 2015 |

Lecturers | C. Baes |

Periodicity | yearly recurring course |

Language of instruction | German |

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 set up linear models for the analysis of animal science data. They know the difference between fixed and random effects. They are familiar with the application of the statistics programmes R and SAS to solve linear models and to interpret their results. |

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 |

Lecture notes | Copies of the slides are available on the net. |

Literature | To be announced in the lectures. |