About the journal

The Journal of the Royal Statistical Society, Series C (Applied Statistics) is a journal of international repute for statisticians both inside and outside the academic world. The journal is concerned with papers which deal with novel solutions to real life statistical problems by adapting or developing methodology, or by demonstrating the proper application of new or existing statistical methods to them. At their heart therefore the papers in the journal are motivated by examples and statistical data of all kinds. The subject-matter covers the whole range of inter-disciplinary fields, e.g. applications in agriculture, genetics, industry, medicine and the physical sciences, and papers on design issues (e.g. in relation to experiments, surveys or observational studies).

A deep understanding of statistical methodology is not necessary to appreciate the content. Although papers describing developments in statistical computing driven by practical examples are within its scope, the journal is not concerned with simply numerical illustrations or simulation studies. The emphasis of Series C is on case-studies of statistical analyses in practice.

Aims and Scope

Series C seeks to publish papers that are tackling genuine problems in applied statistics, i.e. where applications are central to the paper and provide the motivation for the work presented. This usually implies that the specific application under study will also be mentioned in the title, and should figure prominently in abstract, introduction and discussion as well as in other parts of the paper. In essence, papers should directly engage with the application and should clearly indicate what additional insights into the applied problem have been gained by applying the suggested methodology. This also implies that some technical details, derivations and proofs might not form part of the main body of the text, but might be moved into supplementary material.

Series C papers make a novel contribution to statistics by adapting or developing new statistical methodology for a specific applied context, or by demonstrating the innovative combination of existing advanced statistical methods. JRSS-C also accepts papers on computational statistics, machine learning and data science, if they are engaging with an application as outlined above. Papers where the application merely serves as an illustration for new methodology or papers that use well-established statistical methods to analyze data are not suitable for JRSS-C. Similarly, papers that only contain brief numerical illustrations or focus exclusively on simulation studies are not suitable, although numerical illustrations and simulations may of course form part of a JRSS-C paper.

In terms of application areas and methodologies, Series C tries to be as broad as possible and therefore covers the whole range of interdisciplinary fields where statistics is applied, including but being by no means limited to agriculture, biology, chemistry, ecology, economics, genetics, industry, medicine, physics, and social sciences.

Discussion papers

Series C also publishes papers which have been presented for discussion at meetings of the Society. Forthcoming discussion papers are available from the society’s web pages.

Keywords

statistics, applied, sample, variable, model, statistical, society, royal, practical, application, science, mathematical, data, journal, analysis, research, periodical, article, studies, theory

Abstracting and Indexing Information

• ABI/INFORM Database (ProQuest)
• Abstracts on Hygiene & Communicable Diseases (CABI)
• AGRICOLA Database (National Agricultural Library)
• BIAB: British & Irish Archaeological Bibliography (biab online)
• CAB Abstracts® (CABI)
• CABDirect (CABI)
• CompuMath Citation Index (Clarivate Analytics)
• CSA Biological Sciences Database (ProQuest)
• CSA Environmental Sciences & Pollution Management Database (ProQuest)
• Current Contents: Physical, Chemical & Earth Sciences (Clarivate Analytics)
• Current Index to Statistics (ASA/IMS)
• Dairy Science Abstracts (CABI)
• Ecology Abstracts (ProQuest)
• Field Crop Abstracts (CABI)
• GeoRef (AGI)
• Global Health (CABI)
• Horticultural Science Abstracts (CABI)
• IBSS: International Bibliography of the Social Sciences (ProQuest)
• Index Veterinarius (CABI)
• INSPEC (IET)
• Irrigation & Drainage Abstracts (CABI)
• Journal Citation Reports/Science Edition (Clarivate Analytics)
• Mathematical Reviews/MathSciNet/Current Mathematical Publications (AMS)
• Postharvest News & Information (CABI)
• ProQuest Central (ProQuest)
• Protozoological Abstracts (CABI)
• PsycINFO/Psychological Abstracts (APA)
• Quality Control & Applied Statistics (Executive Sciences Institute)
• Review of Agricultural Entomology (CABI)
• Review of Medical & Veterinary Entomology (CABI)
• Review of Plant Pathology (CABI)
• Science Citation Index (Clarivate Analytics)
• Science Citation Index Expanded (Clarivate Analytics)
• SCOPUS (Elsevier)
• Soils & Fertilizers Abstracts (CABI)
• Statistical Theory & Method Abstracts (Zentralblatt MATH)
• Tropical Diseases Bulletin (CABI)
• Veterinary Bulletin (CABI)
• Weed Abstracts (CABI)
• Wheat, Barley & Triticale Abstracts (CABI)
• ZBMATH (Zentralblatt MATH)