Proceedings of the 7th Annual Meeting of Risk Analysis Council of China Association for Disaster Prevention

Statistical Significance of Typhoon Risk and Calculation of the Risk per Year

Authors
Chongfu Huang
Corresponding Author
Chongfu Huang
Available Online November 2016.
DOI
10.2991/rac-16.2016.1How to use a DOI?
Keywords
Statistics, typhoon, risk, information diffusion, Internet of intelligences
Abstract

The risks in terms of statistical significance refer to ones that could be analyzed by using random samples. The typhoon risk in statistics is the average loss caused by typhoons. The risk per year calculated with a stochastic process has more clear physical meaning. Monte Carlo method can not improve the risk assessment. The information diffusion technique can improve estimation of risk under small-sample condition. Providing a platform to people living in typhoon-prone area to participate in risk assessment and timely update risk information, the Internet of intelligences could help us to improve estimation of typhoon risk.

Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 7th Annual Meeting of Risk Analysis Council of China Association for Disaster Prevention
Series
Advances in Intelligent Systems Research
Publication Date
November 2016
ISBN
978-94-6252-242-8
ISSN
1951-6851
DOI
10.2991/rac-16.2016.1How to use a DOI?
Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Chongfu Huang
PY  - 2016/11
DA  - 2016/11
TI  - Statistical Significance of Typhoon Risk and Calculation of the Risk per Year
BT  - Proceedings of the 7th Annual Meeting of Risk Analysis Council of China Association for Disaster Prevention
PB  - Atlantis Press
SP  - 1
EP  - 9
SN  - 1951-6851
UR  - https://doi.org/10.2991/rac-16.2016.1
DO  - 10.2991/rac-16.2016.1
ID  - Huang2016/11
ER  -