Special Issue on Applied Statistics
Applied
Statistics is an academic research field that focuses on the application of
statistical methods and techniques to analyze and interpret data in various
practical domains. It involves the use of statistical models, methodologies,
and tools to address real-world problems and make data-driven decisions. 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
|
April 30th, 2024
|
Publication Date
|
June 2024
|
Guest Editor:
For further
questions or inquiries
Please contact
Editorial Assistant at
ojs@scirp.org
?