The 4th Int'l Conference on Statistics, Mathematical Modelling and Analysis (smma 2021)

May
29

) — ()

Guilin

Grand Link Hotel Map

The 4th Int'l Conference on Statistics, Mathematical Modelling and Analysis (SMMA 2021)
Conference Date: May 29-31, 2021
Conference Venue: Guilin, China
Website: https://www.maymeeting.org/conference/SMMA2021/
Online Registration:
https://www.maymeeting.org/RegistrationSubmission/default.aspx?ConferenceID=1345
Email Registration: wsconf5@163.com
The 4th Int'l Conference on Statistics, Mathematical Modelling and Analysis (SMMA 2021) will be held from May 29-31, 2021 in Guilin, China. SMMA 2021 will cover issues on Applied statistics, Data modeling and analysis, Design of simulation experiments, Statistical analysis system programming, Statistical applications, Statistical genetics, Statistics and mathematics education, etc. It dedicates to creating a stage for exchanging the latest research results and sharing the advanced research methods.
If you wish to serve the conference as an invited speaker, please send email to us with your CV. We'll contact with you asap.
Publication and Presentation
Publication: All the accepted papers will be published by a peer-reviewed open access journal that can ensure the widest dissemination of your published work, for more information, please contact us (wsconf5@163.com)
Index: CNKI and Google Scholar
Note: If you want to present your research results but do NOT wish to publish a paper, you may simply submit an Abstract to our Registration System.
Contact Us
Email: wsconf5@163.com (Seminar.Group@hotmail.com)
Tel: +86 13264702250
QQ: 1349406763
WeChat: 3025797047
Twitter: conf_Committee
Attendance Methods
1. Submit full paper (Regular Attendance+Paper Publication+Presentation)
You are welcome to submit full paper, all the accepted papers will be published by Open access journal.
2. Submit abstract (Regular Attendance+Abstract+Presentation)
3. Regular Attendance (No Submission Required)
Conference Topics
Actuarial science
Applied data mining and statistical learning
Applied Simulation
Applied statistics

Sarah Fang
Organizer:
 Sarah Fang