Due to COVID-19 epidemic situation all over the world, most countries still maintain a strict policy of no-gathering, no-entering and leaving the country, and 14-days quarantine. We have to postpone the conference till November 6-8, 2020 in Xiamen, China.
Int'l Conference on Statistics, Mathematical Modelling and Analysis (SMMA 2020)
Conference Date: November 6-8, 2020
Conference Venue: Xiamen, China
Website: http://www.maymeeting.org/conference/SMMA2020/
Online Registration System: http://www.maymeeting.org/RegistrationSubmission/default.aspx?ConferenceID=1229
Email: wsconf5@163.com
Int'l Conference on Statistics, Mathematical Modelling and Analysis (SMMA 2020) will be held from November 6-8, 2020 in Xiamen, China. SMMA 2020 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: Open Access Journal，please contact us for detailed information
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
Tel: +86 132 6470 2250
QQ: 1349406763
WeChat: 3025797047
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
Applied time series analysis
Biometrics and applied statistics
Biostatistics and bioinformatics
Data modeling and analysis
Design of simulation experiments
Econometrics
Financial mathematics
Geostatistics
Image, speech and video processing and analysis
Linear algebra and programming models
Mathematical modelling
Metamodelling and regression
Model verification and validation
Modeling and simulation
Modeling simulation inputs
Numerical analysis
Pattern recognition and analysis
Random processes
Real analysis and statistics
Sampling techniques
Satisfiability modulo theories
Sensitivity analysis
Singular perturbation theory
Smoothing and statistical graphics
Social science methodology
Statistical analysis system programming
Statistical applications
Statistical genetics
Statistics and mathematics education
Statistics for environments
Stochastic modelling
Home 
