Special Issue on Research on Parameters Estimation

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 Research on Parameters Estimation.

In this special issue, we intend to invite front-line researchers and authors to submit original research and review articles on exploring Research on Parameters Estimation. 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 - Research on Parameters Estimation” should be chosen during your submission.

According to the following timetable:

Guest Editor:  

For further questions or inquiries

Please contact Editorial Assistant at

ojs@scirp.org