Aims and Scope
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. Less
Key Metrics
Journal Specifications
- PublisherELSEVIER INC
- LanguageEnglish
- FrequencyMonthly
- LanguageEnglish
- FrequencyMonthly
- Publication Start Year1971
- Publisher URL
- Website URL
Months | % Papers published |
---|---|
0-3 | 1% |
4-6 | 18% |
7-9 | 21% |
>9 | 60% |
Topics Covered
Year-wise Publication
- 5Y
- 10Y
FAQs
Since when has Journal of Multivariate Analysis been publishing? 
The Journal of Multivariate Analysis has been publishing since 1971 till date.
How frequently is the Journal of Multivariate Analysis published? 
Journal of Multivariate Analysis is published Monthly.
What is the H-index. SNIP score, Citescore and SJR of Journal of Multivariate Analysis? 
Journal of Multivariate Analysis has a H-index score of 84, Citescore of 2.4, SNIP score of 1.33, & SJR of Q1
Who is the publisher of Journal of Multivariate Analysis? 
The publisher of Journal of Multivariate Analysis is ELSEVIER INC.
Where can I find a journal's aims and scope of Journal of Multivariate Analysis? 
For the Journal of Multivariate Analysis's Aims and Scope, please refer to the section above on the page.
How can I view the journal metrics of Journal of Multivariate Analysis on editage? 
For the Journal of Multivariate Analysis metrics, please refer to the section above on the page.
What is the eISSN and pISSN number of Journal of Multivariate Analysis? 
The eISSN number is 1095-7243 and pISSN number is 0047-259X for Journal of Multivariate Analysis.
What is the focus of this journal? 
The journal covers a wide range of topics inlcuding Principal component analysis, Time series, Quantile regression, Vine copula, Riemannian manifold, Association test, Covariance matrix, Tail dependence, Covariance function, Coefficient matrix, Hilbert space, Test statistic, Null hypothesis, Independent component analysis, Functional principal component analysis, Asymmetric norm, Covariance operator, Cholesky decomposition, Empirical likelihood, Multivariate normal distribution.
Why is it important to find the right journal for my research? 
Choosing the right journal ensures that your research reaches the most relevant audience, thereby maximizing its scholarly impact and contribution to the field.
Can the choice of journal affect my academic career? 
Absolutely. Publishing in reputable journals can enhance your academic profile, making you more competitive for grants, tenure, and other professional opportunities.
Is it advisable to target high-impact journals only? 
While high-impact journals offer greater visibility, they are often highly competitive. It's essential to balance the journal's impact factor with the likelihood of your work being accepted.