Special Issue on Multivariate Statistical Analysis
Multivariate statistical methods are used
to analyze the joint behavior of more than one random variable. There are a
wide range of multivariate techniques available, as may be seen from the
different statistical method examples below. These techniques can be done using
Statgraphics Centurion 19's multivariate statistical analysis. 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 Multivariate Statistical Analysis.
In this special issue, we intend to invite front-line
researchers and authors to submit original research and review articles on
exploring Multivariate Statistical Analysis. In this special issue, potential topics include, but are not
limited to:
-
Correlation
analysis
-
Principal
components and factor analysis
-
Discriminant
analysis
-
Neural
network bayesian classifier
-
Partial
least squares
-
Multivariate
normality test
-
Multivariate
tolerance limits
-
Applications
of multivariate statistical analysis
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 notice that the “Special Issue” under your manuscript title is
supposed to be specified and the research field “Special Issue - Multivariate Statistical
Analysis” should be chosen
during your submission.
According to the following timetable:
Submission Deadline
|
June 18th, 2023
|
Publication Date
|
August 2023
|
Guest Editor:
For
further questions or inquiries
Please
contact Editorial Assistant at
ojs@scirp.org