- Giustizia sostenibile
- Edited by Paola Lucarelli
La statistica applicata alla giustizia
- Silvia Bacci
- Valentina Tocchioni
- © 2023 Author(s) |
- CC BY 4.0
- DOI: 10.36253/979-12-215-0316-6.11
Courts and appellate courts, in the regular course of their work activities, produce numerous amounts of data, stored via computer media. Such data contain in themselves considerable informational potential, which can lend support in monitoring the efficiency and effectiveness of the operating methods of judicial offices. However, the process of transforming data into information requires the use of suitable quantitative analysis tools, which are made available by Statistics. This chapter focuses on the problem of monitoring the backlog of civil cases. In particular, some statistical indicators are described, the use of which is illustrated through specific applications.
- Keywords:
- Index numbers,
- Quantitative analysis,
- Statistical indicators,
University of Florence, Italy - ORCID: 0000-0001-8097-3870
University of Florence, Italy - ORCID: 0000-0002-0793-6122
- Delvecchio, Francesco. 2015. Statistica per lo studio dei fenomeni sociali. Padova, Cleup.
- Iezzi, Domenica F. 2014. Statistica per le scienze sociali. Roma, Carocci editore.
- Piccolo, Domenico. 2010. Statistica. Bologna, Il Mulino.
Chapter Information
Chapter Title
La statistica applicata alla giustizia
Authors
Silvia Bacci, Valentina Tocchioni
Language
Italian
DOI
10.36253/979-12-215-0316-6.11
Peer Reviewed
Publication Year
2023
Copyright Information
© 2023 Author(s)
Content License
Metadata License
Bibliographic Information
Book Title
Giustizia sostenibile
Book Subtitle
Sfide organizzative e tecnologiche per una nuova professionalità
Editors
Paola Lucarelli
Peer Reviewed
Number of Pages
270
Publication Year
2023
Copyright Information
© 2023 Author(s)
Content License
Metadata License
Publisher Name
Firenze University Press
DOI
10.36253/979-12-215-0316-6
ISBN Print
979-12-215-0315-9
eISBN (pdf)
979-12-215-0316-6
Series Title
Studi e saggi
Series ISSN
2704-6478
Series E-ISSN
2704-5919