Special Issue on Multivariate Data Analysis

 

Multivariate data analysis refers to any statistical technique used to analyze data that arises from more than one variable. There are many statistical techniques for conduction multivariate analysis, including multiple regression analysis, factor analysis, path analysis, multiple analysis of variance and etc. The information age has resulted in masses of data in every field. Despite the quantum of data available, the multivariate analysis can be used to process the information in a meaningful fashion.

 

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

• Multiple regression analysis
• Factor analysis
• Path analysis
• Discriminant analysis
• Cluster analysis
• Multidimensional scaling and general multivariate methods
• Applications

 

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

 

Please kindly specify the “Special Issue” under your manuscript title. The research field “Special Issue - Multivariate Data Analysis” should be selected during your submission.

 

Special Issue timetable:

 

 

Guest Editor:

Prof. Qihua Wang

Chinese Academy of Sciences, China

 

For further questions or inquiries

Please contact Editorial Assistant at

ojs@scirp.org