1) Sampling weights
抽样权重
1.
Methods Sampling weights are utilized to calculate population quantities of interest,and their variances are estimated by Taylor series linearization,and a practical example is also presented in this article.
方法采用抽样权重估计有关的总体特征量,用泰勒级数线性法估计其方差,并给出具体的分析实例。
2) weighted sampling method
权重抽样法
1.
A weighted sampling method developed to improve radiography quality combines the characteristics of the X-ray attenuation in the object,weighted factors for describing the particle transmission and random sampling.
为了更好地解决闪光照相深穿透中粒子碰撞位置而带来的大记录问题,提出了权重抽样法。
3) sampling weight
抽样权数
4) importance sampling
重要抽样
1.
Study on an importance sampling method of structrural dynamic reliability;
结构动力可靠度的重要抽样法的探讨
2.
Fuzzy robustness analysis based on importance sampling and neural network;
基于重要抽样法和神经网络的模糊鲁棒性分析
5) resampling
重抽样
1.
The method of sampling importance-resampling(SIR) algorithm,which is based on the prior proposal distribution,is generally used in particle filter.
通常的粒子滤波利用采样重要性重抽样算法,该算法选用先验分布,但它易受外部观测量的影响,因而会导致权值变化较大,并且引起较高的蒙特卡罗方差以致会使滤波性能较差。
6) double sampling
双重抽样
1.
In this paper the method of double sampling is applied to PPS Sampling.
本文把双重抽样技术用于ＰＰＳ抽样，给出了该方法下总体总值的无偏估计量，估计量的方差及方差的无偏估计公式。
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