Special Issue on Modeling Methods in Statistics

Statistical modeling is based on computer statistical analysis software, and uses various statistical analysis methods to build a statistical model and explore the treatment process of batch data. This fresh approach reveals the logic of statistical inference, interpret socioeconomic phenomena, and make predictions or judgments about economic and social development. With the rapid development and wide popularization of computer and network technology, we are facing the challenges of data and the information explosion. How to rapidly and effectively upgrade data to information, knowledge and intelligence, is an important subject for statistical researchers.

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

• Model building
• Model solving
• Model hypothesis
• State-space model
• Generalized linear model
• Regression analysis model
• Multivariate statistics model
• Application of statistical modeling

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 – Modeling Methods in Statistics” 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