A central medium for the publication of important research in the general area of multivariate analysis, the Journal of Multivariate
Analysis presents articles on fundamental theoretical aspects of the field as well as on other aspects concerned with significant
applications of new theoretical methods. Although ... click here for full Aims & Scope
A central medium for the publication of important research in the general area of multivariate analysis, the Journal of Multivariate
Analysis presents articles on fundamental theoretical aspects of the field as well as on other aspects concerned with significant
applications of new theoretical methods. Although articles addressing univariate analysis are considered for publication, particular
attention is given to papers that discuss problems concerned with more than one variable.
In addition to helping to stimulate research
in multivariate analysis, the journal aims to bring about interactions among mathematical statisticians, probabilists, and scientists
in other disciplines broadly interested in the area.
Research Areas Include:
• Asymptotic theory
• Bayes
models
• Cluster analysis
• Decision theory
• Discriminant analysis
• Distributions and tests
• Estimation
• Factor analysis
• Limit laws
• Measures of association
• Multidimensional
scaling and general multivariate methods
• Multivariate ANOVA
• Sequential analysis
• Stochastic analysis
and inference
• Testing of hypothesis
• Time series
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Editor-in-Chief:
J. de Leeuw
Virtual Special Issue on Biostatistics & Bioinformatics Editorial by Somnath Datta, University of Louisville Co-Editor-in-Chief of Statistics & Probability Letters
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We are always interested in receiving suggestions on the journal. Furthermore, if you have publication proposals for new journals in the field or suggestions for any other kind of cooperation, please do not hesitate to contact us. Lucia Muñoz Franco, Publishing Editor, e -mail:
l.franco@elsevier.com; Dr Keith Jones, Publisher, e-mail:
K.Jones@elsevier.com
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