Cluster sampling divides a population into smaller clusters, simplifying large-scale research. Cluster sampling is a probability sampling method where researchers divide a population into smaller ...

This example illustrates the use of regression analysis in a simple random cluster sampling design. The data are from S rndal, Swenson, and Wretman (1992, p. 652). A total of 284 Swedish ...

In stratified adaptive cluster sampling, the process begins by taking an initial stratified random sample from the population. After setting a specified condition, whenever a unit of the sample meets ...

Cluster sampling is a sampling technique used in statistics and research methodology. It involves dividing a population into clusters or groups and randomly selecting some of these clusters for ...

When a cluster sampling design is to be used and more than one characteristic are under study, usually it is not possible to use the individual optimum cluster size and sampling unit for one reason or ...

Builds on top of issue#40 except that we first create a mapping between clusters created at different levels of granularity. Using Uniref30/50/90/100 as an example we would: Sample at random from U30 ...

We propose a data reduction technique for scattered data based on statistical sampling. Our void-and-cluster sampling technique finds a representative subset that is optimally distributed in the ...