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将极大似然估计与ＡＩＣ准则有机结合进行回归模型建模。这样不仅可省去一般回归模型建模时繁杂的模型检验工作，而且还可快速有效地同时估计模型参数和确定模型阶数。最后用实例验证本方法的实用性和正确性。
The regression model is modeled by the combination of maximum likelihood estimation and AIC criterion. This not only eliminates the need for cumbersome model checking in general regression modeling, but also allows for the quick and efficient estimation of model parameters and the determination of model order. Finally, an example is used to verify the practicability and correctness of this method.