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:
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:
Submission Deadline
|
August 24th, 2016
|
Publication Date
|
October 2016
|
Guest Editor:
Prof. Qihua Wang
Chinese Academy of Sciences, China
For
further questions or inquiries
Please
contact Editorial Assistant at
ojs@scirp.org