Special Issue on Statistics and Probability
Probability
and statistics, the branches of mathematics concerned with the laws governing
random events, including the collection, analysis, interpretation, and display
of numerical data. Probability has its origin in the study of gambling and
insurance in the 17th century, and it is now an indispensable tool of both
social and natural sciences. 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 Statistics and Probability.
In this special
issue, we intend to invite front-line researchers and authors to submit
original research and review articles on exploring Statistics and Probability. In this special issue,
potential topics include, but are not limited to:
-
Descriptive
statistics
-
Statistical
inference
-
Regression
analysis ?
-
Probability
distributions
-
Time
series analysis ?
-
Bayesian
statistics
-
Multivariate
analysis
-
Nonparametric
statistics
-
Statistical
genetics
-
Statistical
machine learning
-
Statistical
quality control
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 - Statistics and Probability” should be chosen
during your submission.
According
to the following timetable:
Submission Deadline
|
September 15th,
2024
|
Publication Date
|
November
2024
|
Guest Editor:
For further
questions or inquiries
Please contact
Editorial Assistant at
ojs@scirp.org