In this statistics, quality assurance, and survey methodology, sampling is the selection of a subset or a statistical sample (termed sample for short)...

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

In statistics, sampling errors are incurred when the statistical characteristics of a population are estimated from a subset, or sample, of that population...

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...

also of importance: in survey sampling, use of sampling without replacement ensures the exchangeability of the sample with the population; in randomized...

In statistics, a sampling distribution or finite-sample distribution is the probability distribution of a given random-sample-based statistic. For an arbitrarily...

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

observational errors, sampling variation). Descriptive statistics are most often concerned with two sets of properties of a distribution (sample or population):...

sampling (also known as grab sampling, accidental sampling, or opportunity sampling) is a type of non-probability sampling that involves the sample being...

In statistics, survey sampling describes the process of selecting a sample of elements from a target population to conduct a survey. The term "survey"...

sampling is also related to umbrella sampling in computational physics. Depending on the application, the term may refer to the process of sampling from...

aspects of statistics released. The surveys conducted by the Ministry are based on scientific sampling methods. The Ministry of Statistics and Programme...

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

error, etc.) to sample estimates. This technique allows estimation of the sampling distribution of almost any statistic using random sampling methods. Bootstrapping...

In sampling theory, the sampling fraction is the ratio of sample size to population size or, in the context of stratified sampling, the ratio of the sample...

parameters using the appropriate sample statistics. For finite populations, sampling from the population typically removes the sampled value from the population...

In statistics, in the theory relating to sampling from finite populations, the sampling probability (also known as inclusion probability) of an element...

cross-cultural sample, a sample of 186 cultures, used by scholars engaged in cross-cultural studies Sampler (disambiguation) Sampling (disambiguation)...

{\displaystyle T} seconds, which is called the sampling interval or sampling period. Then the sampled function is given by the sequence: s ( n T ) {\displaystyle...

In statistics, a sampling frame is the source material or device from which a sample is drawn. It is a list of all those within a population who can be...

An area sampling frame is an alternative to the most traditional type of sampling frames. A sampling frame is often defined as a list of elements of the...

In statistics, the sample maximum and sample minimum, also called the largest observation and smallest observation, are the values of the greatest and...

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...

Nonprobability sampling is a form of sampling that does not utilise random sampling techniques where the probability of getting any particular sample may be calculated...

In statistics, multistage sampling is the taking of samples in stages using smaller and smaller sampling units at each stage. Multistage sampling can be...

During sampling of granular materials (whether airborne, suspended in liquid, aerosol, or aggregated), correct sampling is defined in Gy's sampling theory...

Look up sampling in Wiktionary, the free dictionary. Sampling may refer to: Sampling (signal processing), converting a continuous signal into a discrete...

Acceptance sampling uses statistical sampling to determine whether to accept or reject a production lot of material. It has been a common quality control...

complicated sampling techniques, such as stratified sampling, the sample can often be split up into sub-samples. Typically, if there are H such sub-samples (from...

statistical inference, hypothesis testing, goodness of fit, and Monte Carlo sampling. The variance of a random variable X {\displaystyle X} is the expected...