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

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

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

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

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

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

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

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...

surveys conducted by the Ministry are based on scientific sampling methods. The Ministry of Statistics and Programme Implementation (MOSPI) came into existence...

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...

only one sample is observed, but the sampling distribution can be found theoretically. Sampling distributions are important in statistics because they...

Horvitz–Thompson estimator Sample (statistics) Sampling (statistics) Stratum (statistics) "Glossary of statistical terms: Population". Statistics.com. Retrieved 22...

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

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

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...

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

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

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

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...

percentiles Test statistics, such as t-statistic, chi-squared statistic, f statistic Order statistics, including sample maximum and minimum Sample moments and...

clear distinctions during sampling. This sampling method should be distinguished from cluster sampling, where a simple random sample of several entire clusters...

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

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

informative descriptive statistics, such as the sample range, do not make good test statistics since it is difficult to determine their sampling distribution. Two...

sociology and statistics research, snowball sampling (or chain sampling, chain-referral sampling, referral sampling) is a nonprobability sampling technique...

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

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...

determination Sample space Sample (statistics) Sample-continuous process Sampling (statistics) Simple random sampling Snowball sampling Systematic sampling Stratified...

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...

results to an aggregate level results in information loss. For instance, if statistics for education and employment are aggregated separately, they cannot be...