将截断数据回归模型转化成半参数回归模型。
We change the truncated regression model into the semiparametric regression model.
非参数回归函数的核估计近年来已有了一些研究。
The kernel estimate of nonparametric regression function has been researched recently.
给出的样本分类方法对各种领域多元参数回归应用具有重要意义。
The sample classification method provided is adaptable to multivariate parameters regression analysis of various fields.
利用多元参数回归的方法，建立了求解偏心环空波动压力的经验模式。
The experience model of eccentric annular has been established by using multiple regression analy8is.
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.
目的放宽经典线性模型中的解释变量的线性假定和探讨半参数回归分析模型。
Objective To relax linear assumption of explanatory variable in classical linear model and explore semiparametric regression 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.
首先利用SPSS统计分析软件对生长率试验结果进行参数回归分析和统计检验。
First, the regression parameters of the growth rate were carried out by SPSS statistical analysis software based on test results.
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.
而非参数回归模型是基于数据本身，其回归函数的形式可以任意，因而有较大适应性。
And the nonparametric models is based on data, the form of its regression function is discretionary, so it has a great adaptability.
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.
本文总结了国内外学者对半参数回归模型研究的贡献，理清了对该模型理论研究演进的方向和脉络。
The paper surveys the recent development on semiparametric regression models, try to index the skeleton and directions of the research work evolved.
在有足够岩芯情况下，还可以通过岩石力学实验，提高测井数据与岩石力学参数回归关系式的相关性；
With enough rock cores, we also can through the rock mechanics experiment, enhance relationship relevance between the well logging data and the rock mechanics parameter.
本文讨论了一类新的半参数回归模型，在一组比较基本的条件下，得到了估计量的较好的一致强收敛速度。
In this paper, we have considered a new class of semiparametric regression model Under some mild conditions we have obtained better uniformly strong convergence rates for the proposed estimators.
利用线性模型和非参数回归模型，对我国外汇储备总量占国内GDP总量比重的变化走势进行了拟合分析。
Through the use of linear model and nonparametric regression model, the trend of the total foreign exchange reserve account for the proportion of GDP is fitted.
介绍了一种新的非参数回归RBF神经网络学习算法，该算法将R BF神经网络与回归树结合起来使用。
A new nonparametric regression learning algorithm for RBF neural network is presented. It is a novel method involving a combination between regression trees and RBF networks.
针对光电探测系统(EODS)的高精度指向要求，提出一种基于半参数回归模型(SPRM)的改进算法。
An improved algorithm based on a semi-parametric regression model (SPRM) is proposed in this paper to achieve high accuracy pointing for electro-optical detection systems (EODSs).
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。
And estimated the unknown quantity using the methods of least square estimation and local polynomial estimation, obtained the consistency of estimation under certain condition.
给出非参数回归模型中估计量的渐近偏差和渐近方差，并在适当条件下利用大小分块的思想获得了该估计量的渐近正态性。
Given the asymptotic bias and the asymptotic variance of estimation, moreover obtained the asymptotic normality of the estimation under certain condition using small-block and large-block arguments.
在误差为AR(1)时间序列的情形下，给出了半参数回归模型的拟极大似然估计方程，并研究了拟极大似然估计量的存在性。
When errors is a ar (1) time series, we studied the quasi-likelihood equation for the semiparametric model, and investigated the existence of quasi-maximum likelihood estimators.
然而，对各种具体的相依数据的统计模型(如相依数据的非线性回归和相依数据的非参数回归模型)的研究还不够充分和不够完备。
So far, however, the theory that studies specially the statistical models with dependent data such as nonlinear regression and nonparametric regression models is not very satisfactory.
然而，对各种具体的相依数据的统计模型(如相依数据的非线性回归和相依数据的非参数回归模型)的研究还不够充分和不够完备。
So far, however, the theory that studies specially the statistical models with dependent data such as nonlinear regression and nonparametric regression models is not very satisfactory.
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