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SMMA 2019

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

Guilin, China
19 - 21 July 2019
The conference ended on 21 July 2019

Important Dates

Abstract Submission Deadline
19th June 2019

About SMMA 2019

The 2nd Int'l Conference on Statistics, Mathematical Modelling and Analysis (SMMA 2019) will be held from July 19-21, 2019 in Guilin, China. SMMA 2019 will cover issues on Statistics, Mathematical Modelling and Analysis. It dedicates to creating a stage for exchanging the latest research results and sharing the advanced research methods.

Topics

Applied statistics, Pure mathematics, Mathematics modelling

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/confer... Online Registration System: http://www.confjuly.org/Regist... 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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