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 The Official Journal of the International Association for Statistical Computing
Editor-in-Chief:
S.P. Azen
See editorial board for all editors information
New! CSDA Bibliography on Computational and Financial Econometrics
Call for papers: CSDA: 4th Special Issue on COMPUTATIONAL ECONOMETRICS
Description
Computational Statistics & Data Analysis (CSDA), the official journal of the International Association
of 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 three refereed sections, and a fourth section dedicated
to news on statistical computing. The refereed sections 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,
computational econometrics, 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, econometrics, environmetrics, education, image
analysis, marketing, model free data exploration, pattern recognition, psychometrics, statistical physics, image processing, robust procedures,
Statistical methodology includes, but not limited to: bootstrapping, classification techniques, clinical trials , data exploration,
density estimation, design of experiments, pattern recognition/image analysis, parametric and nonparametric methods, statistical genetics,
Bayesian modeling, outlier detection, robust procedures, cross-validation, functional data, fuzzy statistical analysis, mixture models,
model selection and assessment, nonlinear models, partial least squares, latent variable models, structural equation models, supervised
learning, signal extraction and filtering, time-series modelling, longitudinal analysis, multilevel analysis and quality control.
III) Special Applications - Manuscripts at the interface of statistics
and computing (e.g., comparison of statistical methodologies,
computer-assisted instruction for statistics, simulation experiments). Advanced statistical analysis with real applications (economics,
social sciences, marketing, psychometrics, chemometrics, signal processing, finance, medical statistics, environmentrics, statistical
physics).
Bibliographic & ordering Information
ISSN: 0167-9473
Imprint: ELSEVIER
Commenced publication 1983
Subscriptions for the year 2007,
Volume 51,
12 issues
Institutional online access: ScienceDirect eSelect
For purchase of online access to this journal on ScienceDirect by credit card.
Institutional price: Order form
JPY 276,700 for Japan
EUR 2,086 for European countries and Iran
USD 2,333 for all countries except Europe, Japan and Iran
See also information about
conditions of sale & ordering procedures, and links to our regional sales offices.
For an overview of recent dispatched issues, see the Journal issue
dispatch dates
Audience
Statisticians (university, government, business, industry), Statistical Software users.
Impact factor of this journal
2006: 0.928
Journal Citation Reports® 2007, published by Thomson Scientific
600/151
Last update: 4 Jul 2007
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