摘要
以大连市寿险原保险保费收入的时间序列数据为依据,分别应用Winters加法模型和Winters乘法模型的方法对其进行月度保费收入值的预测,通过比较由不同方法得出的预测结果的绝对百分误差的大小,选择出绝对百分误差最小的方法。
According to the time series data of the original insurance premium income of Dalian life insur- ance, the monthly premium income value are predicted with Winters addition model and Winters multiplication model respectively. By comparing the absolute percentage error of the predicted results obtained through different methods, a method with minimum absolute percentage error is selected.
出处
《保险职业学院学报》
2014年第2期11-14,共4页
Journal of Insurance Professional College
