Special Issue on Mathematical Statistics

Mathematical Statistics is the study of statistics from a mathematical standpoint, using probability theory as well as other branches of mathematics such as linear algebra and analysis. The term "mathematical statistics" is closely related to the term "statistical theory" but also embraces modeling for actuarial science and non-statistical probability theory. Statistical science is concerned with the planning of studies, especially with the design of randomized experiments and with the planning of surveys using random sampling. The initial analysis of the data from properly randomized studies often follows the study protocol. 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 mathematical statistics.

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

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 – Mathematical Statistics” should be chosen during your submission.

According to the following timetable:

Guest Editor:

Prof. Qihua Wang

Academy of Mathematics and Systems Science, Chinese Academy of Sciences, China

For further questions or inquiries

Please contact Editorial Assistant at

ojs@scirp.org