Journal of the Royal Statistical Society. Series A, (Statistics in Society)
Journal Title
- Journal of the Royal Statistical Society. Series A, (Statistics in Society)
ISSN
- E 1467-985X | P 0964-1998 | 1467-985X | 0964-1998
Publisher
- Blackwell Publishing Inc.
- Wiley-Blackwell
Listed on(Coverage)
| JCR | 1997-2019 |
|---|---|
| SJR | 1999-2019 |
| CiteScore | 2011-2019 |
| SCI | 2010-2019 |
| SCIE | 2010-2021 |
| CC | 2016-2021 |
| SSCI | 2010-2021 |
| A & HCI | 2010 |
| SCOPUS | 2017-2020 |
Active
- Active
based on the information
- SCOPUS:2020-10
Country
- USA
Aime & Scopes
- The aim of Series A is to publish papers that demonstrate how statistical thinking, design and analyses play a vital role in all walks of life and benefit society in general. There is no restriction on subject-matter: any interesting, topical and revelatory applications of statistics are welcome. For example, important applications of statistical methods in medicine, business and commerce, industry, economics and finance, education and teaching, physical and biomedical sciences, the environment, the law, government and politics, demography, psychology, sociology and sport all fall within the journal’s remit. The journal is therefore aimed at a wide statistical audience and at professional statisticians in particular. Its emphasis is on well-written and clearly reasoned quantitative approaches to problems in the real world rather than the exposition of technical detail. Thus, although the methodological basis of papers must be sound and adequately explained, methodology per se should not be the main focus of a Series A paper. Of particular interest are papers on topical or contentious statistical issues, papers which give reviews or exposés of current statistical concerns and papers which demonstrate how appropriate statistical thinking has contributed to our understanding of important substantive questions. Historical, professional and biographical contributions are also welcome as are discussions of methods of data collection and of ethical issues, provided that all such papers have substantial statistical relevance.