Journal of The Royal Statistical Society Series A-statistics in Society

期刊简介：Series A (Statistics in Society) 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.

【译文】《系列A（社会统计学）》发表高质量的论文，展示了统计思维、设计和分析在所有生活领域中的重要作用，并使社会普遍受益。主题内容没有限制：任何有趣、热门和揭示性的统计应用都受欢迎。例如，医学、商业和商业、工业、经济和金融、教育、物理和生物医学科学、环境、法律、政府和政治、人口统计、心理学、社会学和体育等领域的重要应用都属于该期刊的范畴。因此，该期刊面向广泛的统计受众，特别是专业统计学家。其重点是现实世界问题的良好写作和清晰推理的定量方法，而不是技术细节的阐述。因此，尽管论文的方法论基础必须坚实且充分解释，但方法论本身不应是Series A论文的主要焦点。特别感兴趣的是关于热门或争议性统计问题的论文，以及那些回顾或阐述当前统计关注点的论文，以及展示适当的统计思维如何有助于我们理解重要实质性问题的论文。历史、专业和传记贡献也受欢迎，以及关于数据收集方法和伦理问题的讨论，只要所有这些论文都具有实质性的统计相关性。