Journal of Multivariate Analysis
Volume 6 • Issue 6
- ISSN: 0047-259X
- 5 Year impact factor: 1.5
- Impact factor: 1.4
The Journal of Multivariate Analysis (JMVA) is the central venue for the publication of new, relevant methodology and particularly theoretical developments of multivariate sta… Read more
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Request a sales quoteThe Journal of Multivariate Analysis (JMVA) is the central venue for the publication of new, relevant methodology and particularly theoretical developments of multivariate statistics combined with innovative applications pertaining to the analysis and interpretation of multidimensional data.
Papers making substantial contributions to regression or time series analysis for multidimensional response variables are invited.
Please note that a JMVA article is of length 15-25 pages. All proofs of propositions, theorems and lemmas should appear in the main body of the text or an appendix (not in a supplement).
The journal welcomes contributions to all aspects of multivariate data analysis and modeling, including:
cluster analysis, discriminant analysis, factor analysis, independent component analysis and multidimensional continuous or discrete distribution theory, where the theory should connect to multivariate statistical inference.
Topics of current interest include, but are not limited to, inferential aspects of:
Change point analysis
Copula modeling
Functional data analysis
Graphical modeling
High-dimensional data analysis
Image analysis
Multivariate extreme-value theory
Multivariate mixed models
Sparse modeling
Spatial statistics,
Submissions dealing with univariate models, including regression models with a single response variable and univariate time series models, are usually deemed to fall outside the journal's remit.
Papers whose content is probabilistic in nature or whose main contribution is to substantive areas (e.g., actuarial science, biostatistics, economics, finance or hydrology) typically fall outside the journal's scope and will only be considered for publication if the statistical methodology used is both novel and broadly applicable.
Finally, note that contributors to multivariate survival analysis, reliability theory and statistical quality control should submit their papers to journals specializing in these areas to ensure that their work reaches the targeted audience.
This journal has an Open Archive. All published items, including research articles, have unrestricted access and will remain permanently free to read and download 48 months after publication. All papers in the Archive are subject to Elsevier's user license.
- ISSN: 0047-259X
- Volume 6
- Issue 6
- 5 Year impact factor: 1.5
- Impact factor: 1.4