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

  in Conferences   Posted on January 24, 2019

Conference Information

Submission Deadline Wednesday 19 Jun 2019
Conference & Submission Link http://www.confjuly.org/conference/SMMA2019/
Conference Dates Jul 19, 2019 - Jul 21, 2019
Conference Address No. 42 Chuanshan Road, China
Proceedings indexed by
Conference Organizers : ( Deadline extended ? Click here to edit )

Conference Call for Papers

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/SMMA2019/
Online Registration System: http://www.confjuly.org/RegistrationSubmission/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: intelconf@163.com
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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