- Docente: Fabrizio Alboni
- Credits: 6
- SSD: SECS-S/01
- Language: Italian
- Moduli: Fabrizio Alboni (Modulo 1) Massimo Ventrucci (Modulo 2)
- Teaching Mode: Traditional lectures (Modulo 1) Traditional lectures (Modulo 2)
- Campus: Bologna
- Corso: Second cycle degree programme (LM) in Sciences and Management of Nature (cod. 8209)
Learning outcomes
At the end of the course, the student learn statistical methods both univariate and multivariate concerning biological applications.
Course contents
1 - Software R.
2 - Probability and distributions
3 - Linear Regression and ANOVA.
4 - GLM
5 - Spatial Data Analysis
Readings/Bibliography
- Zuur, Ieno e Smith, Analyzing Ecological Data, Springer
- Iacus S.M., Masarotto G. , Laboratorio di Statistica con R, McGraw-Hill
- Diggle, P., Ribeiro, P.J., Model-based Geostatistics. Springer Series in Statistics
- slides and R-scriptsTeaching methods
Each argument will be faced by following the steps below: 1) theory explanation 2) analysis of data on biological datasets
Assessment methods
Final examination consists in an oral presentation on a real environmental problem that might be solved using R-software. The oral discussion on achieved results with will be linked with the theoretical part.
Teaching tools
All lessons will concern: a) theory explanation b) applications on environmental datasets with software R
Office hours
See the website of Fabrizio Alboni
See the website of Massimo Ventrucci