门限自回归模型（TAR）是一种分段线性的非线性时间序列模型。
Threshold autoregressive model (TAR) is a nonlinear sequential model which is segmentedly linear.
为此给出了AR型非线性时间序列模型的稳定性条件及极限环存在条件，并对一些特殊模型进行了讨论。
The stability conditions and the existing conditions of limit cycle of AR-type nonlinear time series models are given. Some special models are discussed.
文章通过对一套市场价格预测模型体系的介绍，综合运用时间序列模型、多元非线性回归和组合模型来预测市场价格走势，探索从多角度综合预测市场价格的问题。
In this paper, a new model system is introduced, which synthetically applies time series model, nonlinear regression and combination forecasting model to forecast the change of the market price.
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