The 2nd Int'l Conference on Statistics, Mathematical Modelling and Analysis (SMMA 2019)

Added by on 2018-12-04

Conference Dates:

Start Date Start Date: 2019-07-19
Last Date Last Day: 2019-07-21
Deadline for abstracts/proposals Deadline for abstracts/proposals: 2019-06-19

Conference Contact Info:

Contact Person Contact Person: Ms. Rolin
Email Email: [email protected]
Address Address: No. 42 Chuanshan Road, Guilin City, Guangxi Zhuang Autonomous Region, Guilin, China
Phone Tel: +86 132 6470 2250

Conference Description:

The 2nd Int'l Conference on Statistics, Mathematical Modelling and Analysis (SMMA 2019)

Conference Date: July 19-21, 2019
Conference Venue: Guilin, China
Website: http://www.confjuly.org/conference/SMMA2 019/
Online Registration System: http://www.confjuly.org/RegistrationSubm ission/default.aspx?ConferenceID=1131

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 related to Applied Mathematics and Physics
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: [email protected]
Tel: +86 132 6470 2250
QQ: 3025797047
WeChat: 3025797047
Conference Topics

Topics: The conference is soliciting state-of-the-art research papers in the following areas of interest:

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
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