在我们解决持续性的第一个方法中，我们把DBMS的信息放在表示业务抽象(即分析类)的对象里。
In our first approach to addressing persistence, we put DBMS knowledge in the object representing our business abstractions (i.e., analysis classes).
三类模型均达到相当的预测准确率，完全可以应用于实践，从而较好地解决了财务困境一年内持续性预警的问题。
Three types of module achieved high accuracy on prediction and can be totally put into practice and can solve problem of financial trouble continuous warning.
与ARCH类模型相比，SW - TGARCH模型能够更好地描述其波动性，并解决了GARCH模型高持续性及状态转移问题。
It is found that the SW-TGARCH models can better describe the volatility of the interest rate and provide a much lower level volatility persistence than GARCH models.
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