Communications for Statistical Applications and Methods

Communications for Statistical Applications and Methods
影响因子:
0.5
ISSN:
print: 2287-7843
on-line: 2383-4757
研究领域:
STATISTICS & PROBABILITY
自引率:
0.00%
Gold OA文章占比:
100.00%
原创研究文献占比:
98.08%
SCI收录类型:
Emerging Sources Citation Index (ESCI) || Scopus (CiteScore)
期刊介绍英文:
Communications for Statistical Applications and Methods (Commun. Stat. Appl. Methods, CSAM) is an official journal of the Korean Statistical Society and Korean International Statistical Society. It is an international and Open Access journal dedicated to publishing peer-reviewed, high quality and innovative statistical research. CSAM publishes articles on applied and methodological research in the areas of statistics and probability. It features rapid publication and broad coverage of statistical applications and methods. It welcomes papers on novel applications of statistical methodology in the areas including medicine (pharmaceutical, biotechnology, medical device), business, management, economics, ecology, education, computing, engineering, operational research, biology, sociology and earth science, but papers from other areas are also considered.
CiteScore:
CiteScoreSJRSNIPCiteScore排名
0.90.2120.453
学科
排名
百分位
大类:Economics, Econometrics and Finance
小类:Finance
251 / 317
20%
大类:Mathematics
小类:Applied Mathematics
527 / 635
17%
大类:Decision Sciences
小类:Statistics, Probability and Uncertainty
140 / 168
16%
大类:Mathematics
小类:Statistics and Probability
232 / 278
16%
大类:Mathematics
小类:Modeling and Simulation
286 / 324
11%
发文信息
WOS期刊分区
学科分类
Q4STATISTICS & PROBABILITY
历年影响因子
2022年0.4000
2023年0.5000
历年发表
2012年88
2013年51
2014年47
2015年60
2016年45
2017年45
2018年50
2019年46
2020年50
2021年45
2022年49
投稿信息
出版国家(地区):
South Korea
出版商:
Korean Statistical Society

Communications for Statistical Applications and Methods - 最新文献

Statistical network analysis for epilepsy MEG data

Pub Date : 2023-11-30 DOI: 10.29220/csam.2023.30.6.561 Haeji Lee, Chun Kee Chung, Jaehee Kim

Two-stage imputation method to handle missing data for categorical response variable

Pub Date : 2023-11-30 DOI: 10.29220/csam.2023.30.6.577 Jong-Min Kim, Kee-Jae Lee, Seung-Joo Lee

Counterfactual image generation by disentangling data attributes with deep generative models

Pub Date : 2023-11-30 DOI: 10.29220/csam.2023.30.6.589 Jieon Lim, Weonyoung Joo
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