The Application of Mathematical Statistics in Insurance

JianXin Zheng

《International Core Journal of Engineering》 6卷12期 (2020/12) Pp. 26-31

https://doi.org/10.6919/ICJE.202012_6(12).0004

摘要

This article mainly uses principal component analysis, factor analysis, regression analysis and other statistical methods to analyze the effects of regional GDP, per capita GDP, per capita disposable income, resident RMB savings deposits, resident consumption levels, and the number of illiterate populations on the original insurance premium income. influences. Although my country's premium income has grown rapidly in recent years, there is still a lot of room for development in the depth and density of insurance in my country, especially for people with different income levels and consumption levels, educated and uneducated people in different regions. There are big differences in demand, so at the end of this article, we will put forward some reasonable suggestions for the development of the insurance industry in various regions through the different degrees of influence of these factors.

關鍵字

Principal component analysis ； Regression analysis ； Original insurance premium

參考文獻

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