This paper mainly studies the nonparametric regression estimation model of local polynomial.
论文主要研究了非参数局部多项式回归估计模型。
Firstly, we introduce the research situation of the local polynomial regression estimation and its basic concept from the model's background.
首先，从产生背景入手，介绍了非参数局部多项式回归估计模型的基本概念以及研究概况。
Fan J and Gijbels I gave the asymptotic normality of local polynomial regression estimation in dependent time series, where the weighted function is bounded.
对相依时间序列数据，在一定的条件下已有人证明了局部多项式加权回归系数估计服从渐近正态分布，其中核函数是有界的。
To enhance the triangle quality of the simplified mesh, a novel triangular mesh simplification algorithm based on local polynomial fitting surface of vertices was proposed.
为了提高网格简化后的三角形质量，提出了一种新的基于顶点局部多项式曲面拟合的三角网格简化算法。
And estimated the unknown quantity using the methods of least square estimation and local polynomial estimation, obtained the consistency of estimation under certain condition.
在半参数回归模型中采用最小二乘估计方法结合局部多项式方法来估计未知量，在一定条件下得到了估计量的相合性。
The trackability limitation of current gradient algorithm is discussed. A new algorithm, named variable parameter gradient estimation algorithm with local polynomial approximation is proposed.
本文分析了梯度辨识算法跟踪时变系统的缺点，提出了一种新的基于局部多项式逼近的变参数梯度估计算法。
Subsequently we present local approximation spaces of some interpolation polynomial.
随后又给出了几类插值多项式的局部近似空间。
Along horizon LCS and differences in directions of LCSs resulted from faults are used to suppress the undesired LCS and random noise through local dip scanning and polynomial filtering.
此项技术利用了沿地层形成的低相干带和由断层产生的低相干带方向上的差别，通过局部方向扫描和多项式滤波来滤除不需要的低相干带和随机噪声带来的干扰。
Lastly, using the compactly supported radial functional to take the place of the polynomial function, local radial point interpolation method, is presented in this paper.
最后，本文采用紧支距离基函数取代多项式基函数，提出了局部径向点插值方法，这是一种真正意义上的无网格方法。
The global method not only overcomes the limitations of the local methods mentioned above, but also outperforms the polynomial spline method in some cases.
该方法不但能克服上述局部方法之不足，而且在一定情形下优于多项式样条方法。
The global method not only overcomes the limitations of the local methods mentioned above, but also outperforms the polynomial spline method in some cases.
该方法不但能克服上述局部方法之不足，而且在一定情形下优于多项式样条方法。
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