Affirm Journal of Multivariate Analysis

Affirm Journal of Multivariate Analysis is an international and peer-reviewed journal with an intercontinental advisory board. The journal documents the professional’s interest in any areas that connect to multivariate analysis. The focus of the journal is on theories and practice in functional data analysis, multivariate data analysis and modeling, factor analysis, and multivariate extreme-value theory. The editorial board of the Affirm Journal of Multivariate Analysis invites authors to submit original papers, empirical studies, case studies and review papers to the journal. At Affirm Journal of Multivariate Analysis, we expect the authors to abide Principles of Transparency and Best Practice in Scholarly Publishing suggested by The Committee on Publication Ethics (COPE), the Directory of Open Access Journals (DOAJ), the Open Access Scholarly Publishers Association (OASPA), and Scopus.

Scope and Focus

Cluster Analysis
Copula Modeling
Discriminant Analysis
Factor Analysis
Functional Data Analysis
Graphical Modeling
High-Dimensional Data Analysis
Image Analysis
Multidimensional Continuous
Multivariate Data Analysis and Modeling
Multivariate Extreme-Value Theory
Sparse Modeling
Spatial Statistics

Editor in chief

Dr. Loghman

Abstracting and Indexing

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