Statistical Methods and Applications

SJR Rank #13,842H-index: 37SJR: 0.414Best quartile: Q3APC: US$3,290
Journal website: aims, scope and author guidelines
Publisher

Country

Germany

Type

journal

SJR by Edition

2022202500.150.30.450.6

Subject Categories

  • Statistics and ProbabilityQ3
  • Statistics, Probability and UncertaintyQ3

Areas: Decision Sciences · Mathematics

Most published research topics

Statistical Methods and InferenceStatistical Methods and Bayesian InferenceAdvanced Statistical Methods and ModelsBayesian Methods and Mixture ModelsFinancial Risk and Volatility ModelingStatistical Distribution Estimation and ApplicationsAdvanced Statistical Process MonitoringSpatial and Panel Data AnalysisComplex Systems and Time Series AnalysisMonetary Policy and Economic Impact

Source: OpenAlex

Publication Statistics

2025 Docs3-Year DocsCitable Docs050100150200

Documents per Year

202220250255075100

Detailed Information

ISSN

1618-2510, 1613-981X

SJR Best Quartile

Q3

Region

Western Europe

Citations per Document (2 years)

1.50

References per Document

41.17

Coverage

1996-1997, 2000-2026

Scope

Statistical Methods and Applications (SMA), the official Journal of the Italian Statistical Society, is an international journal aiming at promoting the development of statistical methodology and its applications in the biological, demographic, economic, health, physical, social and other scientific domains. SMA includes two sections: The first is devoted to statistical methodology and publishes original contributions in all fields of Statistics and, occasionally, critical reviews and discussions on recent developments in statistical theory and methods. The second section of the journal publishes papers devoted to original and/or innovative applications of recent statistical methodology and complex approaches of statistical data analysis. The journal is published four 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.

Metrics from SCImago Journal Rank 2025. View on SCImago