Journal of Multivariate Analysis

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Journal of Multivariate Analysis |Subject |Discipline}}| Multivariate statistics

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Language| English
Edited by| Christian Genest
Publication details
History| 1971–present
Publisher|

Elsevier

Frequency| Monthly

Impact factor

| 1.009 (2017)
Standard abbreviations
ISO 4 (alt) * Bluebook (alt1 * alt2)
NLM (alt) * MathSciNet (alt )
ISO 4| J. Multivar. Anal.
MathSciNet| J. Multivariate Anal.
Indexing
CODEN * JSTOR (alt) * LCCN (alt)
MIAR * NLM (alt) * Scopus
CODEN| JMVAAI
ISSN| 0047-259X

LCCN| 71649078
OCLC no.| 01783582
Links

* Journal homepage
* Online access

The Journal of Multivariate Analysis is a monthly peer-reviewed scientific journal that covers applications and research in the field of multivariate statistical analysis. The journal's scope includes theoretical results as well as applications of new theoretical methods in the field. Some of the research areas covered include copula modeling, functional data analysis, graphical modeling, high-dimensional data analysis, image analysis, multivariate extreme-value theory, sparse modeling, and spatial statistics.[1]

According to the Journal Citation Reports, the journal has a 2017 impact factor of 1.009.[2]

## See also

* List of statistics journals

## References

1. ↑ "Aims and Scope". Journal of Multivariate Analysis. http://www.journals.elsevier.com/journal-of-multivariate-analysis/. Retrieved 30 December 2018.
2. ↑ "Journal of Multivariate Analysis". 2017 Journal Citation Reports. Web of Science (Science ed.). Thomson Reuters. 2017.

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