Special Issue on Parameter Estimation Research

Parameter Estimation is a basic form of statistical inference, which is divided into point estimation and interval estimation. Parameter estimation is applied widespread in medical treatment, market consumption and even natural disaster. The parameter estimation can forecast the value of a parameter significantly and precisely, which can avoid disaster or make profits. 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 the parameter estimation research.

In this special issue, we intend to invite front-line researchers and authors to submit original researches and review articles on exploring parameter estimation research. Potential topics include, but are not limited to:

• Point estimation
• Interval estimation
• Derivative estimation
• Gradient method
• Simplex search
• Variable metric method
• Application of parameter estimation

Authors should read over the journal’s Authors’ Guidelines 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 - Parameter Estimation Research” should be chosen during your submission.

According to the following timetable:

Guest Editor:

Dr. Xuewen Lu

Department of Mathematics and Statistics, University of Calgary, Canada

For further questions or inquiries

Please contact Editorial Assistant at

ojs@scirp.org