Special Issue on Applied Statistics
Applied
statistics is the root of data analysis, and the practice of applied statistics
involves analyzing data to help define and determine business needs. With
today’s increased access to big data, companies are looking for statisticians,
data analysts, data scientists, and other professionals with applied statistics
knowledge who can visualize and analyze data, make sense of it all, and use it
to solve real-world problems. 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 applied statistics.
In this special
issue, we intend to invite front-line researchers and authors to submit
original research and review articles on exploring applied statistics. In this special issue,
potential topics include, but are not limited to:
-
Statistics
and economics
-
Statistics
and finance
-
Statistics
and sociology
-
Statistics
and physics
-
Statistics
and medicine
-
Statistics
and biology
-
Bootstrap
-
Correlated
errors
-
Data
snooping
-
Interactions
and qualitative variables
-
Multiple
linear regression
-
Penalized
regression
-
Regression
and prediction
-
Simple
linear regression
-
Variance
and cross-validation
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 - Applied Statistics” should be chosen
during your submission.
According
to the following timetable:
Submission Deadline
|
August 30th, 2022
|
Publication Date
|
October 2022
|
Guest Editor:
For further
questions or inquiries
Please contact
Editorial Assistant at
ojs@scirp.org
?