本文提出了分层三阶段及以上抽样的自加权抽样设计方法。
The paper presents a typical self-weighting sample design for the stratified three-stage or over sampling.
所有报告的样本误差比率包括了加权和抽样设计设计效应计算在内。
All reported margins of sampling error include the computed design effects for weighting and sample design.
根据本文所证明的理论，抽样指条的极性必须在加权函数过零点处倒相放置。
According to the theory that has been demonstrated, sampled finger polarity must be placed inversely phase wherever the weighting function pass through zero-joints.
理论分析表明，按照抽样对象的不同，存在三种适用范围不同的算法：传递函数抽样法、点扩展函数抽样法和加权函数抽样法。
There exist three sampling methods according to the sampling objects: the transfer function sampling, the point-spread function sampling and the weighting function sampling.
为了减小定位误差和提高算法的适应性，利用三维空间抽样和范围约束的方法，并结合对成功样本点的加权筛选，获得节点的三维估计坐标以实现抽样定位。
Combined with weighted filtration to successful sample points, it uses the method of sampling in three-dimensional space and range constraint to acquire three-dimensional coordinates of nodes.
在此基础上，采用分层抽样技术和综合评价法，构建了基于车辆行驶时间（VHT）加权的分层次交通拥堵指数（TCI）模型。
Then, a weighted vehicle-hours-traveled (VHT) based traffic congestion indices (TCI) model was developed by using stratified sampling and comprehensive evaluation method.
在此基础上，采用分层抽样技术和综合评价法，构建了基于车辆行驶时间（VHT）加权的分层次交通拥堵指数（TCI）模型。
Then, a weighted vehicle-hours-traveled (VHT) based traffic congestion indices (TCI) model was developed by using stratified sampling and comprehensive evaluation method.
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