- 《Journal of the Royal Statistical Society. Series C: Applied Statistics》
- 其它刊名：J ROY STAT SOC SER C-APPL;J R STAT SOC C-APPL
- 语言：外文
- ISSN：0035-9254
- 核心刊：;ISI Journal Citation Reports © Ranking: 2009: 43/100 (Statistics & Probability);Scopus;SCIE(科学引文索引)(美)(2020);
- 收录情况：ISI Journal Citation Reports © Ranking: 2009: 43/100 (Statistics & Probabil
- 周期：双月刊
- 影响因子：2018:1.344;2017:1.750;2016:1.716;2015:1.354;2014:1.494;2013:1.418;2012:1.253;2011:0.828;2010:0.645;2009:1.06;2008:1.057;2007:1.362;
- 学科分类：数学
- 简介：The Journal of the Royal Statistical Society, Series C (Applied Statistics) is a journal of internat...
更多...-
- 简介：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.
隐藏-
- 出版地： Wiley-Blackwell;9600 Garsington Road;Oxford OX4 2DQ
主题范围： Poses solutions to real life statistical problems. Covers the whole range of inter-disciplinary fields, e.g. applications in agriculture, genetics, industry, medicine and the physical sciences.-
- 来源数据库：
- Wiley Online Library (1997－)
- 国家科技图书文献中心文献检索
- JSTOR (1665－)
- Ingenta Connect
