Special Issue on Statistics and Probability

Probability and statistics, the branches of mathematics concerned with the laws governing random events, including the collection, analysis, interpretation, and display of numerical data. Probability has its origin in the study of gambling and insurance in the 17th century, and it is now an indispensable tool of both social and natural sciences. 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 Statistics and Probability.

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

• Descriptive statistics
• Statistical inference
• Regression analysis ?
• Probability distributions
• Time series analysis ?
• Bayesian statistics
• Multivariate analysis
• Nonparametric statistics
• Statistical genetics
• Statistical machine learning
• Statistical quality control

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 - Statistics and Probability” 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