CODE  108582 

ACADEMIC YEAR  2023/2024 
CREDITS 

SCIENTIFIC DISCIPLINARY SECTOR  MAT/06 
TEACHING LOCATION 

SEMESTER  2° Semester 
TEACHING MATERIALS  AULAWEB 
Two important areas of Statistics are introduced: sampling theory and time series analysis. The first part deals with theoretical and practical elements of the design, analysis and inference of survey data obtained by probabilistic sampling. The second part develops the main aspects of the theory and practice of the analysis of time series in the timedomain and hints to the analysis in the frequency domain.
Basic understanding of applications of probability theory for two important statistical techniques, including their specific applications.
At the end of the course students will be able to
At the end of the course students will
Combination of traditionals lectures and lab sessions with the software R.
Combination of traditionals lectures and lab sessions with the software R.
Statistical sampling from a finite population. Simple random sampling with and without replacement. Stratified sampling. Proportional allocation and optimal allocation. Statistical estimators of means and their variances.
Time series: exploratory analysis. The notions of stationarity and ergodicity. Strong and weak stationary processes. Autocovariance function and partial autocovariance function. SARIMA models.
Sampling theory
1. Vic Barnett Sample Survey, Principle and methods, Third Edition, John Wiley & Sons, Ltd, 2002
2. William Cochran, Sampling Techniques, John Wiley & Sons, 1977
3. Sharon L. Lohr, Sampling: Design and Analysis. Second Edition, Brooks/Cole, 2010
4. Formulario ed alcuni esercizi su aulaweb (al sito del corso, in file) oppure http://www.dima.unige.it/ rogantin/StatInd/index.htm
Time series
1.C. Chatfield (1980). The analysis of Time Series: an introduction, Chapman and Hall
2. Rob J Hyndman and George Athanasopoulos (2nd edition). Forecasting: Principles and Practice, Monash University, Australia https://otexts.com/fpp2/
3. R.D. Pend e F. Dominici (2008). Statistical methods for environmental epidemiology with R. A case study in air pollution and Health, Wiley
4. R.H. Shumway e D.S. Stoer (2000). Time series analysis and its applications with examples in R, Springer
According to the academic calendar.
All class schedules are posted on the EasyAcademy portal.
Written exam with multiple choice and open questions. Two group projects on topics agreed with the teachers. Discussion of the reports and written test.
Main points of evaluation are the level of acquisition of the learning objectives and the ability to communicate in a written report the data analyzes carried out during the course.
Students with DSA, disability or other special educational needs are recommended to contact the teacher at the beginning of the course, in order to organize teaching and assessment, taking in account both the class aims and the student's needs and providing suitable compensatory instruments.