population sampling, a sampling design specifies for every possible sample its probability of being drawn. Mathematically, a sampling design is denoted...

individuals. In survey sampling, weights can be applied to the data to adjust for the sample design, particularly in stratified sampling. Results from probability...

important when the sample comes from a sampling method that is different than just picking people using a simple random sample. The design effect is a positive...

sampling and design-based inference are supplemented by other statistical methods, such as model-assisted sampling and model-based sampling. For example...

In survey methodology, Poisson sampling (sometimes denoted as PO sampling: 61 ) is a sampling process where each element of the population is subjected...

random sampling is a basic type of sampling and can be a component of other more complex sampling methods. The principle of simple random sampling is that...

In statistics, cluster sampling is a sampling plan used when mutually homogeneous yet internally heterogeneous groupings are evident in a statistical population...

In statistics, stratified sampling is a method of sampling from a population which can be partitioned into subpopulations. In statistical surveys, when...

and let sampling be performed by measuring the value of the continuous function every T seconds, which is called the sampling interval or sampling period...

Stratified sampling Cluster sampling distance sampling Multistage sampling Nonprobability sampling Slice sampling Sampling bias Sampling design Sampling distribution...