Multiple Regression Prediction Model on Economic Loss under Typhoon

Article Preview

Abstract:

China’s southeast coast is one of the regions with most severely influenced by typhoons in the world, which suffers significant casualties and huge economic losses every year. A multiple regression prediction model of the economic losses educed by typhoon disaster in coastal areas of southeastern china was proposed. The principles of multivariate regression analysis were introduced firstly and the Typhoon disaster data over the east coast of China were analyzed. Then, the affected area, deaths and houses collapsed were chose as the variables and a multivariate regression prediction model of the economic losses educed by typhoon disaster was proposed. The results indicate that the factors affecting the economic losses of typhoon disasters randomness were taken into account and the responses of the independent variables and the dependent variable from the statistical data were provided.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 1065-1069)

Pages:

2353-2356

Citation:

Online since:

December 2014

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2015 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] G. Wang, J. Su , Y. Ding, et al. Tropical cyclone genesis over the South China sea. Journal of Marine Systems, vol. 68, 2007, pp.318-326.

DOI: 10.1016/j.jmarsys.2006.12.002

Google Scholar

[2] Z. Cai, L. Xu, Y. Xu. A study on the tropical cyclone disasters in China. Journal of the Atmospheric Sciences, vol. S1, 1994, pp.826-836.

Google Scholar

[3] J. Gao, X. Zhu, Y. Yu , et al. Study of the impact of typhoon disaster on coastal region of China. Journal of Catastrophol, vol. 14, 1999, pp.73-77.

Google Scholar

[4] F. Meng, J. Kang, W. Li, et al. Analysis and evaluation of typhoon disasters in Shanghai in past 50 years. Journal of Catastrophol, vol. 22, 2007, pp.71-76.

Google Scholar