百度试题 结果1 题目Cluster()sampling()is()a()commonly()used()nonprobability()sampling()technique.相关知识点: 试题来源: 解析 错误() 反馈 收藏
Nevertheless, for those wanting to do small, inexpensivesurveys, cluster sampling is often the method of choice.There are two different ways to do rapidsurveys, each having its own equations forcalculating the mean and confidence interval. Bothassume that clusters have been selected withprobability ...
When the researcher uses this sampling method, it gives all the members of the sample an equal and known chance of becoming part of the sample. In this, the whole population is divided into variousnon-overlapping sub-groupsor clusters. Non-overlapping subgroup means that members do not appear ...
Definition: A cluster sample is a probability sample in which each sampling unit is a collection or cluster, of elements.Cluster sampling is effective design for obtaining a specified amount of info…
Model-based algorithms assume that the data is generated by a mixture of underlying probability distributions and aim to estimate the parameters of these distributions. Suitable for datasets where the data distribution can be well-modeled by statistical distributions. ...
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]...
Each process performs sampling in different overlapping energy ranges, as indicated by different colors in the first three panels of the figure. The first panel shows the converged WL histograms per process converged up to a flatness condition of c = 0.995. Each histogram contains 22 bins ...
This clustering mechanism uses a simple channel assignment scheme and is easy to implement. It also reduces the energy consumption since only few nodes within a cluster are involved in data transmission. However, the proposed mechanism reduces energy consumption by sacrificing sampling accuracy. ...
two stage samplingweighted least squares methodIn the health and social sciences, researchers often encounter categorical data for which complexities come from a nested hierarchy and/or cross-classification for the sampling structure. A common feature of these studies is a non-standard data structure ...
Cluster randomized trials (CRTs) are commonly used to evaluate the causal effects of educational interventions, where the entire clusters (e.g., schools) a