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.
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.
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.
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.
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.
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.
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