Time-series forecasting analysis for life insurance premium

被引：0

作者：

Zhao Yan-tao ^{[1
]}

Cui Mei-ping ^{[1
]}

机构：

[1] China Univ Min & Technol, Dept Math, Beijing 100083, Peoples R China

来源：

Proceedings of 2004 Chinese Control and Decision Conference | 2004年

关键词：

time-series method; seasonal factor; forecast;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The short-term forecasting analysis for life insurance is presented by using time-series method. The time-series models, such as StepAR model, Additive-winter model and ARIMA model are compared. Based on residual analysis Information. criterion and testing data, stable model is obtained. Furthermore, the short-term forecasting values in twelve months are given.

引用

页码：793 / 795

页数：3