IMPACT
FACTOR 1.1
Journals Detail
Journal: Statistical Methods & Applications
Online ISSN: 1613-981X
Print ISSN: 1618-2510
Publisher Name: Springer
Starting Year: 1992
Website URL: https://link.springer.com/journal/10260
Country: Germany
Email: journalsubmissions@springernature.com
Research Discipline Statistical Methods & Applications
Frequency: Triannual
Research Language: English
About Journal:
Aims and scope
Statistical Methods & Applications (SMA) is the official journal of the Italian Statistical Society. This international journal fosters the development of statistical methodology and statistical learning, and their applications in biological, ecological, demographic, economic, engineering, financial, medical, epidemiological, social, psychometric and other scientific domains.
SMA includes two sections. The first is devoted to statistical methodology, publishing original contributions in all fields of statistics and machine learning. In addition, this section welcomes submissions of authoritative reviews. The second section publishes papers devoted to original and innovative applications of recent statistical methodology and complex approaches to statistical data analysis.
The journal is published five times a year. SMA provides a forum for the presentation of Italian and international research on methods that are of central interest to modern statistics. Discussions on methodological foundations and methods that have broad applications will be welcome and preferred.
Officially cited as: Stat Methods Appl