Applied Mathematics Special Issue on Applied Probability and Statistics

Applied Mathematics Scientific Research Open Access

ISSN Online: 2152-7393

Special Issue on Applied Probability and Statistics

Call for Papers Probability theory is a branch of mathematics that studies the quantitative law under random phenomena. The theories and methods of probability theory and mathematical statistics have been widely used in industry, agriculture, military and science and technology. 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 Applied Probability and Statistics.

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

 Convexity, Optimization, and Inequalities  Stochastic processes problems and solutions  Probability theory and its applications  Random variables and probability distributions  Mathematical statistics and data analysis  Scan statistics and applications  Statistics and econometric models  Conditional probabilities

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 specify the “Special Issue” under your manuscript title. The research field “Special Issue - Applied Probability and Statistics” should be selected during your submission.

Special Issue Timetable: Submission Deadline December 9th, 2020 Publication Date February 2021

Guest Editor:

For further questions or inquiries, please contact Editorial Assistant at [email protected].