JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES A-STATISTICS IN SOCIETY

期刊官网投稿通道

提出问题

友情提示：以下期刊信息可能会有更新，仅供参考，请在投稿前自行登录期刊官网仔细核实。

期刊名

JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES A-STATISTICS IN SOCIETY

J R STAT SOC A STAT

ISSN / eISSN

0964-1998 / 1467-985X

目标和范围

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.

研究方向

社会科学：数理方法

统计学与概率论

CiteScore

3.00

查看趋势图

CiteScore 学科排名

类别	分区	排名
Social Sciences - Social Sciences (miscellaneous)	Q1	#112/502
Social Sciences - Statistics and Probability	Q2	#71/262
Social Sciences - Statistics, Probability and Uncertainty	Q2	#48/160
Social Sciences - Economics and Econometrics	Q2	#262/705