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Journal of Multivariate Analysis 
Summary
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]
| Discipline | Multivariate statistics |
|---|---|
| Language | English |
| Edited by | Christian Genest |
| Publication details | |
| History | 1971–present |
| Publisher | |
| Frequency | Monthly |
| 1.009 (2017) | |
| Standard abbreviations | |
| ISO 4 | J. Multivar. Anal. |
| MathSciNet | J. Multivariate Anal. |
| Indexing | |
| CODEN | JMVAAI |
| ISSN | 0047-259X |
| LCCN | 71649078 |
| OCLC no. | 01783582 |
| Links | |
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According to the Journal Citation Reports, the journal has a 2017 impact factor of 1.009.[2]
See also edit
References edit
- ^ "Aims and Scope". Journal of Multivariate Analysis. Retrieved 30 December 2018.
- ^ "Journal of Multivariate Analysis". 2017 Journal Citation Reports. Web of Science (Science ed.). Thomson Reuters. 2017.
External links edit
- Official website