Special Issue on Multivariate Analysis

Multivariate Analysis consists of a collection of methods that can be used when several measures are made on each individual or object in one or more samples.  Generally, multivariate analysis is concerned with two areas, descriptive and inferential. Historically, the bulk of applications of multivariate analysis have been in the behavioral and biological sciences. However, interests in multivariate analysis has now spread to numerous other fields of investigation such as education, chemistry, environmental science, physics, geology, medicine, and many other fields. The goal of this special issue is to provide a platform for scientists and academicians all over the world to promote, share, and discuss various new issues and developments in the area of research on the multivariate analysis.

In this special issue, we intend to invite front-line researchers and authors to submit original researches and review articles on exploring multivariate analysis. Potential topics include, but are not limited to:

• Factor analysis
• Variance analysis
• Discriminant analysis
• Principal component analysis
• Multiple regression analysis
• Covariance analysis
• Cluster analysis
• Canonical correlation
• The applications of multivariate methods

Authors should read over the journal’s Authors’ Guidelines carefully before submission. Prospective authors should submit an electronic copy of their complete manuscript through the journal’s Paper Submission System.

Please kindly notice that the “Special Issue” under your manuscript title is supposed to be specified and the research field “Special Issue - Multivariate Analysis” should be chosen during your submission.

According to the following timetable:

Guest Editor:

For further questions or inquiries

Please contact Editorial Assistant at

ojs@scirp.org