本文提出一个新的非对称广义arch模型，并以非参数回归方法对模型进行估计。
This paper suggests a new AGARCH linear regression model, and USES nonparametric regression method to estimate the model.
对非参数回归曲线提出了一种新的核估计量和窗宽选择方法及修正偏倚置信带。
This paper gives a new kernel estimate, bandwidth parameter and the bias-corrected confidence belt for nonparametric regression curve.
目的改进回归分析的经典最小二乘估计方法和探讨光滑样条非参数回归分析方法。
Objective To improve on classical least squares estimate of regression analysis and explore nonparametric smoothing spline regression analysis.
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.
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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