Aim of the course is to provide the student with an adequate preparation on the statistical concepts and methods that can be used to collect, elaborate and synthesize data concerning economical and social phenomena.
Much attention will be paid to conditions that need to be fulfilled for the different tecniques to be appliable, stressing their analytical potentialities. The course is focused mainly on applications of the different tecniques.
Much attention will be paid to conditions that need to be fulfilled for the different tecniques to be appliable, stressing their analytical potentialities. The course is focused mainly on applications of the different tecniques.
Curriculum
scheda docente
materiale didattico
The first lessons will be devoted to a summary of basic statistical concepts (such as variance, covariance, correlation, linear combinations) and matrix algebra.
We will then move on to the study of possible data matrix syntheses: composite indicators, principal component analysis; cluster analysis.
Finally, after a summary of simple regression (i.e. the straight line), we will move on to the study of multiple regression.
Emphasis will be placed on case studies .
https://romatrepress.uniroma3.it/wp-content/uploads/2021/03/open-togmp-2.pdf
B.F.J. Manly and J.A. Navarro Alberto. Multivariate Statistical Methods: A Primer, Fourth Edition. Taylor & Francis (2016)
Programma
The first lessons will be devoted to a summary of basic statistical concepts (such as variance, covariance, correlation, linear combinations) and matrix algebra.
We will then move on to the study of possible data matrix syntheses: composite indicators, principal component analysis; cluster analysis.
Finally, after a summary of simple regression (i.e. the straight line), we will move on to the study of multiple regression.
Emphasis will be placed on case studies .
Testi Adottati
Open issues in composite indicators. Terzi, Otoiu, Mazziotta, Pareto, Grimaccia. Downloadable from Roma TrE-presshttps://romatrepress.uniroma3.it/wp-content/uploads/2021/03/open-togmp-2.pdf
B.F.J. Manly and J.A. Navarro Alberto. Multivariate Statistical Methods: A Primer, Fourth Edition. Taylor & Francis (2016)
Bibliografia Di Riferimento
B.F.J. Manly and J.A. Navarro Alberto. Multivariate Statistical Methods: A Primer, Fourth Edition. Taylor & Francis (2016)Modalità Erogazione
The course consists of both traditional face-to-face lectures and laboratory lessons and discussion of case studies. In the event of an extension of the health emergency from COVID-19, e-learning will consist in live and deferred audio recordings, as well as distribution of hand outs.Modalità Frequenza
Frequency, although not strictly mandatory, is strongly recommended. In fact, there are no textbooks that follow the lessons and the discussion of case-studies .Modalità Valutazione
Assessment is based on a written test containing both open-ended theoretical questions and requests to comment on or elaborate a data set; followed by a short oral test. (Usually on the same day). For attending students, it is possible to take the written test immediately at the end of the course, and the oral test at one of the winter session appointments.
scheda docente
materiale didattico
The first lessons will be devoted to a summary of basic statistical concepts (such as variance, covariance, correlation, linear combinations) and matrix algebra.
We will then move on to the study of possible data matrix syntheses: composite indicators, principal component analysis; cluster analysis.
Finally, after a summary of simple regression (i.e. the straight line), we will move on to the study of multiple regression.
Emphasis will be placed on case studies .
https://romatrepress.uniroma3.it/wp-content/uploads/2021/03/open-togmp-2.pdf
B.F.J. Manly and J.A. Navarro Alberto. Multivariate Statistical Methods: A Primer, Fourth Edition. Taylor & Francis (2016)
Mutuazione: 21210001 ANALISI STATISTICA PER LE SCIENZE SOCIALI in Economia dell'ambiente, lavoro e sviluppo sostenibile LM-56 TERZI SILVIA
Programma
The first lessons will be devoted to a summary of basic statistical concepts (such as variance, covariance, correlation, linear combinations) and matrix algebra.
We will then move on to the study of possible data matrix syntheses: composite indicators, principal component analysis; cluster analysis.
Finally, after a summary of simple regression (i.e. the straight line), we will move on to the study of multiple regression.
Emphasis will be placed on case studies .
Testi Adottati
Open issues in composite indicators. Terzi, Otoiu, Mazziotta, Pareto, Grimaccia. Downloadable from Roma TrE-presshttps://romatrepress.uniroma3.it/wp-content/uploads/2021/03/open-togmp-2.pdf
B.F.J. Manly and J.A. Navarro Alberto. Multivariate Statistical Methods: A Primer, Fourth Edition. Taylor & Francis (2016)
Bibliografia Di Riferimento
B.F.J. Manly and J.A. Navarro Alberto. Multivariate Statistical Methods: A Primer, Fourth Edition. Taylor & Francis (2016)Modalità Erogazione
The course consists of both traditional face-to-face lectures and laboratory lessons and discussion of case studies. In the event of an extension of the health emergency from COVID-19, e-learning will consist in live and deferred audio recordings, as well as distribution of hand outs.Modalità Frequenza
Frequency, although not strictly mandatory, is strongly recommended. In fact, there are no textbooks that follow the lessons and the discussion of case-studies .Modalità Valutazione
Assessment is based on a written test containing both open-ended theoretical questions and requests to comment on or elaborate a data set; followed by a short oral test. (Usually on the same day). For attending students, it is possible to take the written test immediately at the end of the course, and the oral test at one of the winter session appointments.