Sampling (statistics)
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Sampling (statistics)
In statistics, quality assurance, and survey methodology, sampling is the selection of a subset of individuals from within a statistical population to...
Stratified sampling
In statistics, stratified sampling is a method of sampling from a population which can be partitioned into subpopulations. In statistical surveys, when...
Sampling distribution
In statistics, a sampling distribution or finite-sample distribution is the probability distribution of a given random-sample-based statistic. For an arbitrarily...
Convenience sampling
sampling (also known as grab sampling, accidental sampling, or opportunity sampling) is a type of non-probability sampling that involves the sample being...
Sampling error
In statistics, sampling errors are incurred when the statistical characteristics of a population are estimated from a subset, or sample, of that population...
Cluster sampling
In statistics, cluster sampling is a sampling plan used when mutually homogeneous yet internally heterogeneous groupings are evident in a statistical population...
Statistics
observational errors, sampling variation). Descriptive statistics are most often concerned with two sets of properties of a distribution (sample or population):...
Statistical inference
also of importance: in survey sampling, use of sampling without replacement ensures the exchangeability of the sample with the population; in randomized...
Importance sampling
sampling is also related to umbrella sampling in computational physics. Depending on the application, the term may refer to the process of sampling from...
Sampling bias
In statistics, sampling bias is a bias in which a sample is collected in such a way that some members of the intended population have a lower or higher...