Applied Statistics

The Journal of the Royal Statistical Society is published in three series: Series A (Statistics in Society), Series B (Statistical Methodology) and Series C (Applied Statistics). Each series publishes contributed papers as well as papers (with discussion) which have been read at discussion paper meetings of the Society. Discussion paper meetings are held up to 10 times a year. They span a very wide range of topics and suitable papers may fall into any of the following categories: a study of an applied statistical problem of sufficient general interest to warrant discussion and publication; new methodology; an interesting and new application of existing methodology; issues of general interest to statisticians, especially if a wide variety of views is to be found; work concerned with the interface between statistics and other fields; ‘state of the art’ reviews and critical summaries of important material which is widely scattered. Papers for reading must be of a nature which will generate discussion. They should not exceed 12000 words (or 24 printed pages) in length. Series A publishes high quality 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 and related data science methodology 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. Series B aims to publish high quality papers on the methodological aspects of statistics and data science more broadly. The objective of papers should be to contribute to the understanding of statistical methodology and/or to develop and improve statistical methods; any mathematical theory should be directed towards these aims. The kinds of contribution considered include descriptions of new methods of collecting or analysing data, with the underlying theory, an indication of the scope of application and preferably a real example. Also considered are comparisons, critical evaluations and new applications of existing methods, contributions to probability theory which have a clear practical bearing (including the formulation and analysis of stochastic models), statistical computation or simulation where original methodology is involved and original contributions to the foundations of statistical science. Reviews of methodological techniques are also considered. A paper, even if correct and well presented, is likely to be rejected if it only presents straightforward special cases of previously published work, if it is of mathematical interest only, if it is too long in relation to the importance of the new material that it contains or if it is dominated by computations or simulations of a routine nature. Series C promotes papers that are focused on statistical methods for real life problems. Applications should be central to papers, rather than illustrative, to motivate the work and to justify any methodological developments. All papers should feature an adequate description of a substantial application and a justification for any new theory. Case-studies may be particularly appropriate, and should include some contextual details, though there should also be a novel statistical contribution, for instance by adapting or developing methodology, or by demonstrating the proper application of new or existing statistical methods to solve challenging applied problems. Papers describing interdisciplinary work are especially welcome, as are those that give interesting novel applications of existing methodology or provide new insights into the practical application of methods, and papers explaining innovative analysis of generic applied problems but not necessarily focused on a particular application also have a place in Series C. Short communications may also be appropriate. Methodological papers that are not motivated by a genuine application are not acceptable; nor are papers that include only brief numerical illustrations or that mainly describe simulation studies of properties of statistical techniques. However, papers describing developments in statistical computing and machine learning are encouraged, provided that they are driven by practical applications. Extended algebraic treatment should be avoided. See the inside back cover for details on the submission of papers. Further notes on the preparation and submission of manuscripts are available on request. All communications with regard to the journals, except about subscriptions, should be addressed to The Journals Manager, The Royal Statistical Society, 12 Errol Street, London, EC1Y 8LX, UK (e-mail: [email protected]). Information for subscribers For details on subscription rates and advertising, see the inside front cover.

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