The randomly weighted least square estimator (RWLSE) for the parametric component in semi-parametric regression models was mainly discussed.
主要考虑了同方差型的半参数线性回归模型中参数的随机加权最小二乘估计（RWLSE）。
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).
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。
The multi-element orthogonal polynomial regression is used for traditional optimization technique of parametric optimum design, and the experimental research is done by some experiential formula.
传统的研究方法是采用多元正交多项式回归参数优化设计，通过获得一些经验公式来进行实验研究。
The kernel regression method now is the most popular non-parametric estimation method.
核回归方法是比较常用的一种非参数估计方法。
In the second chapter, I propose semi-parametric estimate to get median regression models with the measured error margin and use it to estimate the mediant of survival data.
因此在第二章，本人用半参数方法提出了协变量测量有误差时的中值回归模型，用它来估计寿命变量的中值。
In the second chapter, I propose semi-parametric estimate to get median regression models with the measured error margin and use it to estimate the mediant of survival data.
因此在第二章，本人用半参数方法提出了协变量测量有误差时的中值回归模型，用它来估计寿命变量的中值。
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