Special Issue on Parameters Estimation Research
Parameters
are descriptive measures of an entire population. However, their values are
usually unknown because it is infeasible to measure an entire population.
Because of this, you can take a random sample from the population to obtain
parameter estimates. One goal of statistical analyses is to obtain estimates of
the population parameters along with the amount of error associated with these
estimates. These estimates are also known as sample statistics. 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 Parameters Estimation Research .
In this special issue,
we intend to invite front-line researchers and authors to submit original
research and review articles on exploring Parameters Estimation Research. In this special issue,
potential topics include, but are not limited to:
-
Rank regression
(Least Squares)
-
Probability
plotting
-
Maximum
likelihood estimation
-
Bayesian
estimation methods
-
Estimation
theory
-
Numerical
models and parameter estimation
-
Applications
of parameter estimation
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 - Parameters Estimation Research ” should be chosen during your submission.
According
to the following timetable:
Submission Deadline
|
February 18th, 2021
|
Publication Date
|
April 2021
|
Guest Editor:
For further
questions or inquiries
Please contact
Editorial Assistant at
ojs@scirp.org