COMPUTATIONAL STATISTICS & DATA ANALYSIS
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Journal Title
COMPUTATIONAL STATISTICS & DATA ANALYSIS
COMPUT STAT DATA AN
ISSN / eISSN
0167-9473
Aims and Scope
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 [...]
Subject Area
STATISTICS & PROBABILITY
COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
CiteScore
3.10
View Trend
CiteScore Ranking
Category | Quartile | Rank |
---|---|---|
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 Core Collection
Science Citation Index Expanded (SCIE) | Social Sciences Citation Index (SSCI) |
---|---|
Indexed | - |
Category (Journal Citation Reports 2023) | Quartile |
---|---|
COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS - SCIE | Q4 |
STATISTICS & PROBABILITY - SCIE | Q2 |
H-index
93
Country/Area of Publication
NETHERLANDS
Publisher
Elsevier
Publication Frequency
Monthly
Year Publication Started
1983
Annual Article Volume
132
Open Access
NO
Contact
ELSEVIER SCIENCE BV, PO BOX 211, AMSTERDAM, NETHERLANDS, 1000 AE
Verified Reviews
7.25 Editor
8.6 Under Review
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