Journal of Multivariate Analysis

{{Use dmy dates|date=August 2022}}

{{Infobox journal

| title = Journal of Multivariate Analysis

| cover =

| abbreviation = J. Multivar. Anal.

| mathscinet = J. Multivariate Anal.

| discipline = Multivariate statistics

| editor = Christian Genest

| publisher = Elsevier

| country =

| history = 1971–present

| frequency = Monthly

| impact = 1.009

| impact-year = 2017

| website = http://www.journals.elsevier.com/journal-of-multivariate-analysis/

| link1 = http://www.sciencedirect.com/science/journal/0047259X

| link1-name = Online access

| ISSN = 0047-259X

| eISSN =

| CODEN = JMVAAI

| LCCN = 71649078

| OCLC = 01783582

}}

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.{{cite web| title=Aims and Scope|work=Journal of Multivariate Analysis |url= http://www.journals.elsevier.com/journal-of-multivariate-analysis/|accessdate=30 December 2018}}

According to the Journal Citation Reports, the journal has a 2017 impact factor of 1.009.{{cite book |year=2017 |chapter=Journal of Multivariate Analysis |title=2017 Journal Citation Reports |publisher=Thomson Reuters |edition=Science |series=Web of Science |title-link=Journal Citation Reports }}