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期刊名
COMPUTATIONAL STATISTICS & DATA ANALYSIS
COMPUT STAT DATA AN
ISSN / eISSN
0167-9473
目标和范围
Computational Statistics and Data Analysis (CSDA), an Official Publication of the network Computational and Methodological Statistics (CMStatistics) and of the International Association for Statistical Computing (IASC), is an international journal dedicated to the dissemination of methodological research and applications in the areas of computational statistics and data analysis. The journal consists of four refereed sections which are divided into the following subject areas:
I) Computational Statistics - Manuscripts dealing with: 1) the explicit impact of computers on statistical methodology (e.g., Bayesian computing, bioinformatics,computer graphics, computer intensive inferential methods, data exploration, data mining, expert systems, heuristics, knowledge based systems, machine learning, neural networks, numerical and optimization methods, parallel computing, statistical databases, statistical systems), and 2) the development, evaluation and validation of statistical software and algorithms. Software and algorithms can be submitted with manuscripts and will be stored together with the online article.
II) Statistical Methodology for Data Analysis - Manuscripts dealing with novel and original data analytical strategies and methodologies applied in biostatistics (design and analytic methods for clinical trials, epidemiological studies, statistical genetics, or genetic/environmental interactions), chemometrics, classification, data exploration, density estimation, design of experiments, environmetrics, education, image analysis, marketing, model free data exploration, pattern recognition, psychometrics, statistical physics, image processing, robust procedures.
[...]
III) Special Applications - [...]
IV) Annals of Statistical Data Science [...]
I) Computational Statistics - Manuscripts dealing with: 1) the explicit impact of computers on statistical methodology (e.g., Bayesian computing, bioinformatics,computer graphics, computer intensive inferential methods, data exploration, data mining, expert systems, heuristics, knowledge based systems, machine learning, neural networks, numerical and optimization methods, parallel computing, statistical databases, statistical systems), and 2) the development, evaluation and validation of statistical software and algorithms. Software and algorithms can be submitted with manuscripts and will be stored together with the online article.
II) Statistical Methodology for Data Analysis - Manuscripts dealing with novel and original data analytical strategies and methodologies applied in biostatistics (design and analytic methods for clinical trials, epidemiological studies, statistical genetics, or genetic/environmental interactions), chemometrics, classification, data exploration, density estimation, design of experiments, environmetrics, education, image analysis, marketing, model free data exploration, pattern recognition, psychometrics, statistical physics, image processing, robust procedures.
[...]
III) Special Applications - [...]
IV) Annals of Statistical Data Science [...]
研究方向
统计学与概率论
计算机：跨学科应用
CiteScore
3.10
查看趋势图
CiteScore 学科排名
| 类别 | 分区 | 排名 |
|---|---|---|
| Mathematics - Statistics and Probability | Q1 | #65/262 |
| Mathematics - Applied Mathematics | Q2 | #192/609 |
| Mathematics - Computational Theory and Mathematics | Q2 | #64/165 |
| Mathematics - Computational Mathematics | Q2 | #68/172 |
Web of Science 核心合集
| Science Citation Index Expanded (SCIE) | Social Sciences Citation Index (SSCI) |
|---|---|
| Indexed | - |
| 类别 (Journal Citation Reports 2023) | 分区 |
|---|---|
| COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS - SCIE | Q4 |
| STATISTICS & PROBABILITY - SCIE | Q2 |
H-index
93
出版国家或地区
NETHERLANDS
出版商
Elsevier
出版周期
Monthly
出版年份
1983
年文章数
132
Open Access
NO
通讯方式
ELSEVIER SCIENCE BV, PO BOX 211, AMSTERDAM, NETHERLANDS, 1000 AE
认证评论
7.25 Editor
8.6 Under Review
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