Cluster sampling. A group of twelve people are divided into pairs, and two pairs are then selected at random.
In statistics, cluster sampling is a sampling plan used when mutually homogeneous yet internally heterogeneous groupings are evident in a statistical population. It is often used in marketing research.
In this sampling plan, the total population is divided into these groups (known as clusters) and a simple random sample of the groups is selected. The elements in each cluster are then sampled. If all elements in each sampled cluster are sampled, then this is referred to as a "one-stage" cluster sampling plan. If a simple random subsample of elements is selected within each of these groups, this is referred to as a "two-stage" cluster sampling plan. A common motivation for cluster sampling is to reduce the total number of interviews and costs given the desired accuracy. For a fixed sample size, the expected random error is smaller when most of the variation in the population is present internally within the groups, and not between the groups.
In statistics, clustersampling is a sampling plan used when mutually homogeneous yet internally heterogeneous groupings are evident in a statistical population...
of clustersampling because it is a type of sampling which involves dividing the population into groups (or clusters). Then, one or more clusters are...
automatic milking Cluster analysis, a set of techniques for grouping a set of objects based on intrinsic similarities Clustersampling, a sampling technique used...
sampling is small enough to make efficiency less important than simplicity. If these conditions do not hold, stratified sampling or clustersampling may...
primary types of soil sampling are grab sampling and composite sampling. Grab sampling involves the collection of an individual sample at a specific time...
multistage sampling), clustersampling is the approach most often used by epidemiologists. In areas of forced migration, there is more significant sampling error...
during sampling. This sampling method should be distinguished from clustersampling, where a simple random sample of several entire clusters is selected...
mortality from violence... In research circles, random cross-sectional clustersampling survey methods are deemed to be a more rigorous epidemiological method...
modified clustersampling survey method developed by the World Health Organization. Vaccine coverage is evaluated using a two-stage sampling approach...
studied. Probability sampling, or random sampling, is a sampling technique in which the probability of getting any particular sample may be calculated....
Address-Based Sampling. Within probability sampling, there are specialized techniques such as stratified sampling and clustersampling that improve the...
similar sampling techniques like stratified and clustersampling, LQAS provides less information but often requires substantially smaller sample sizes....
more general concept of sampling frame includes area sampling frames, whose elements have a geographic nature. Area sampling frames can be useful for...
In statistics, stratified sampling is a method of sampling from a population which can be partitioned into subpopulations. In statistical surveys, when...
intervals. The sampling distribution of a mean is generated by repeated sampling from the same population and recording of the sample means obtained....
smaller-sized groups ("clusters") and where the sampling and/or treatment assignment is correlated within each group. Clustered standard errors are widely...
The Phoenix Cluster (SPT-CL J2344-4243) is a massive, Abell class type I galaxy cluster located at its namesake, southern constellation of Phoenix. It...
with fixed sample size, or varied sample size sampling (e.g.: Poisson sampling). The probability of some element to be chosen, given a sample, is denoted...
contaminant. Sampling methods include for example simple random sampling, stratified sampling, systematic and grid sampling, adaptive clustersampling, grab...
the Fallujah cluster. While the authors argued that the Fallujah cluster's inclusion could be justified as a normal part of the sampling strategy (the...
repeated measurements, such as longitudinal data, or data obtained from clustersampling. They are generally fit as parametric models, using maximum likelihood...
Cluster analysis or clustering is the task of grouping a set of objects in such a way that objects in the same group (called a cluster) are more similar...
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