Statistical methods in environmental studies
A.A. 2020/2021
Obiettivi formativi
This course provides a broad overview of statistical methods and space-time data analysis frequently used in environmental science and studies. The topics covered in this course aim to provide you with the foundation and tools needed to empirically evaluate data
Risultati apprendimento attesi
At the end of the course the student must be able to perform autonomously statistical analyses of environmental data, often having a space and/or time structure. The student must also be able to produce effective reports of the analysis.
Periodo: Secondo semestre
Modalità di valutazione: Esame
Giudizio di valutazione: voto verbalizzato in trentesimi
Corso singolo
Questo insegnamento non può essere seguito come corso singolo. Puoi trovare gli insegnamenti disponibili consultando il catalogo corsi singoli.
Programma e organizzazione didattica
Edizione unica
Responsabile
Periodo
Secondo semestre
In case of lockdown, synchronous recorded lecture will be available online
Programma
Environmental Sampling.
Models for Data (Statistical Models, Discrete Distributions, Continuous Distributions)
Regression-type models and methods.
Panel data analysis.
Time Series Analysis.
Spatial-Data Analysis (Point Patterns, Correlation between Variables in Space, Kriging)
Models for Data (Statistical Models, Discrete Distributions, Continuous Distributions)
Regression-type models and methods.
Panel data analysis.
Time Series Analysis.
Spatial-Data Analysis (Point Patterns, Correlation between Variables in Space, Kriging)
Prerequisiti
Prerequisites for this course include a good knowledge of the mathematical tools presented in Calculus I, Linear Algebra and Basic Statistics courses (crash course)
Metodi didattici
Face-to-face lectures, tutorials
Materiale di riferimento
V. Barnett, Environmental Statistics. Methods and Applications. Wiley, 2004.
Hill, Griffiths, Lim Principles of Econometrics. John Wiley & Sons, Inc
Lecture Notes
Hill, Griffiths, Lim Principles of Econometrics. John Wiley & Sons, Inc
Lecture Notes
Modalità di verifica dell’apprendimento e criteri di valutazione
Written Exam
MED/01 - STATISTICA MEDICA
SECS-P/05 - ECONOMETRIA
SECS-P/05 - ECONOMETRIA
Esercitazioni: 32 ore
Lezioni: 32 ore
Lezioni: 32 ore
Docenti:
Aletti Giacomo, Ghiglietti Andrea, Micheletti Alessandra
Docente/i
Ricevimento:
su appuntamento
ufficio 2099
Ricevimento:
Su appuntamento per email
studio o online (videoconferenza)