雜志介紹

Journal Of The Royal Statistical Society Series A-statistics In Society雜志介紹

《Journal Of The Royal Statistical Society Series A-statistics In Society》是一本以English為主的未開放獲取國際優(yōu)秀期刊，中文名稱皇家統(tǒng)計(jì)學(xué)會雜志系列 A-社會統(tǒng)計(jì)學(xué)，本刊主要出版、報(bào)道數(shù)學(xué)-SOCIAL SCIENCES, MATHEMATICAL METHODS領(lǐng)域的研究動態(tài)以及在該領(lǐng)域取得的各方面的經(jīng)驗(yàn)和科研成果，介紹該領(lǐng)域有關(guān)本專業(yè)的最新進(jìn)展，探討行業(yè)發(fā)展的思路和方法，以促進(jìn)學(xué)術(shù)信息交流，提高行業(yè)發(fā)展。該刊已被國際權(quán)威數(shù)據(jù)庫SCIE、SSCI收錄，為該領(lǐng)域相關(guān)學(xué)科的發(fā)展起到了良好的推動作用，也得到了本專業(yè)人員的廣泛認(rèn)可。該刊最新影響因子為1.5，最新CiteScore 指數(shù)為2.9。

本刊近期中國學(xué)者發(fā)表的論文主要有：

• A comparison of exposure uncertainty propagation models used in epidemiological studies

  Author: Huang, Guowen; Liu, Feng

英文介紹

Journal Of The Royal Statistical Society Series A-statistics In Society雜志英文介紹

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.