...时间序列法（Time Series Model）、卡尔曼滤波法（Kalman Filtering Model）、非参数回归模型（Nonparametric Regressive Model）、人工神 经网络模型（ANNs, 即Artificial Neural Networks）、交通仿真（Traffic Simulation Model）和动态交通分配模型（Dynam...
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文章对我国通货膨胀建立非参数回归模型，取得了令人满意的拟合效果。
In this paper, a nonparametric regression model is established for the inflation of China, and a satisfying fitting result is obtained.
非参数回归模型因其能够描述许多数据自身所体现的非线性特征而受到人们的广泛关注。
Nonparametric regressive model has gained much attention recently, primarily due to the fact that they can describe some nonlinear features exhibited by many datas itself in applications.
本文基于非参数回归模型的局部核权最小二乘法提出变量间非线性协整的一种非参数检验方法。
Based on the locally kernel weighted least squares fit of the nonparametric regression models, this paper presents the nonparametric testing method for nonlinear cointegration.
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