Journal of the Royal Statistical Society Series B-Statistical Methodology

Journal of the Royal Statistical Society Series B-Statistical Methodology
期刊缩写:
J R STAT SOC B
影响因子:
3.1
ISSN:
print: 1369-7412
on-line: 1467-9868
研究领域:
数学-统计学与概率论
创刊年份:
1998年
h-index:
114
自引率:
0.00%
Gold OA文章占比:
22.58%
原创研究文献占比:
100.00%
SCI收录类型:
Science Citation Index Expanded (SCIE) || Scopus (CiteScore)
期刊介绍英文:
Series B (Statistical Methodology) 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.
期刊介绍中文:
Journal of the Royal Statistical Society Series B-Statistical Methodology已被国际权威数据库SCIE收录,中科院分区:数学 1区,JCR分区等级:Q1,其旨在发表有关统计学和数据科学方法论方面的高质量论文。 期刊的目的应是促进对统计方法的理解和/或发展和改进统计方法;任何数学理论都应针对这些目的。所考虑的贡献类型包括描述收集或分析数据的新方法,并附带基本理论、应用范围说明,最好还有一个实际例子。此外,还考虑对现有方法进行比较、批判性评价和新的应用,对具有明确实用性的概率论的贡献(包括随机模型的制定和分析),涉及原创方法的统计计算或模拟,以及对统计科学基础的原创贡献。
CiteScore:
CiteScoreSJRSNIPCiteScore排名
8.84.3303.776
学科
排名
百分位
大类:Mathematics
小类:Statistics and Probability
10 / 278
96%
大类:Decision Sciences
小类:Statistics, Probability and Uncertainty
10 / 168
94%
发文信息
中科院SCI期刊分区
大类 小类 TOP期刊 综述期刊
1区 数学
1区 统计学与概率论 STATISTICS & PROBABILITY
WOS期刊分区
学科分类
Q1STATISTICS & PROBABILITY
历年影响因子
2015年4.2220
2016年4.6100
2017年2.8940
2018年3.2780
2019年3.9650
2020年4.4880
2021年4.9330
2022年5.8000
2023年3.1000
历年发表
2012年53
2013年60
2014年59
2015年48
2016年79
2017年54
2018年45
2019年54
2020年64
2021年74
2022年83
投稿信息
出版周期:
Quarterly
出版语言:
English
出版国家(地区):
ENGLAND
审稿时长:
>12 weeks
出版商:
Wiley-Blackwell Publishing Ltd
编辑部地址:
WILEY-BLACKWELL PUBLISHING, INC, COMMERCE PLACE, 350 MAIN ST, MALDEN, USA, MA, 02148

Journal of the Royal Statistical Society Series B-Statistical Methodology - 最新文献

Interpretable discriminant analysis for functional data supported on random nonlinear domains with an application to Alzheimer's disease.

Pub Date : 2024-03-22 DOI: 10.1093/jrsssb/qkae023 Eardi Lila, Wenbo Zhang, Swati Rane Levendovszky

GENIUS-MAWII: for robust Mendelian randomization with many weak invalid instruments.

Pub Date : 2024-03-14 DOI: 10.1093/jrsssb/qkae024 Ting Ye, Zhonghua Liu, Baoluo Sun, Eric Tchetgen Tchetgen

Doubly robust calibration of prediction sets under covariate shift.

Pub Date : 2024-03-04 DOI: 10.1093/jrsssb/qkae009 Yachong Yang, Arun Kumar Kuchibhotla, Eric Tchetgen Tchetgen
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