NOT FOR COMMERCIAL DISTRIBUTION5.1 INTRODUCTIONSimple random sampling is important for understanding the principles of sampling. Yet it is notoften used to do surveys. For rapid surveys we will use a more complex sampling design, two-stagecluster sampling, that is much easier to use in the field...
Cluster sampling is frequently used in household surveys, market research etc. Suppose we wish to estimate average income per household in a big city. It is difficult to find a frame containing all the households. However, the list of blocks in the city are usually readily available. So inste...
百度试题 题目cluster sampling的中文翻译是:() A.概率抽样B.系统抽样C.整群抽样D.配额抽样相关知识点: 试题来源: 解析 C 反馈 收藏
In this article, we have proposed two-stage negative adaptive cluster sampling design. It is a new design, which is a combination of two-stage sampling and negative adaptive cluster sampling designs. In this design, we consider an auxiliary variable which is highly negatively correlated with the...
Situations when field researchers are tempted to deviate from preselected sampling plan and to include nearby or related units in sample, then adaptive cluster sampling (ACS) offers a nearly completion solution. For rare and clustered populations, Thomps
water samplingcluster analysisA study of the vulnerability of the river Tenes aquifer has been carried out by means of cluster analysis. On the basis of eleven features measured for forty-seven ground-water samples, pattern recognition techniques allow the visualization of several types of waters. ...
out of 160,000 in a four-site combinatorial library with five equal experimental batches, CLADE achieves global maximal fitness hit rates of up to 91.0% and 34.0% for the GB1 and PhoQ datasets, respectively, improved from the values of 18.6% and 7.2% obtained by random sampling-based MLDE...
To deal with huge datasets, a sampling-based method called Clustering LARge Applications (CLARA) [112] might be utilized. CLARA's concept is that instead of considering the entire collection of items, a tiny subset of the original objects is chosen as the dataset's representations. PAM [111]...
GraphSAGE:使用固定个数的邻居节点,故将 d 替换为 r 即可 FastGCN:importance sampling,将 d^L 替换为 rL 即可 VR-GCN 1. memory:BAD 需要存储所有中间的embedding matrices, O(LNF) 需要存储所有中间的feature transformation matrices, O(LF^2) 提出一种存储 N 个节点和 L 层embedding的方法,并且在后续...
For stratified and cluster sampling with inappreciable differences, estimate precision becomes poor. 对于分层抽样和整群抽样,当群体间的差异、群内个体间差异均不显著时,其估计精度往往都很差。 更多例句>> 3) successive sampling 连续性抽样 1. This paper uses the time series theory to improve the pr...