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Poisson sampling, the Glossary

In survey methodology, Poisson sampling (sometimes denoted as PO sampling) is a sampling process where each element of the population is subjected to an independent Bernoulli trial which determines whether the element becomes part of the sample.^[1]

10 relations: Bernoulli sampling, Bernoulli trial, Independence (probability theory), Poisson distribution, Poisson point process, Sampling (statistics), Sampling design, Sampling probability, Statistical population, Survey methodology.
Sampling techniques

Bernoulli sampling

In the theory of finite population sampling, Bernoulli sampling is a sampling process where each element of the population is subjected to an independent Bernoulli trial which determines whether the element becomes part of the sample. Poisson sampling and Bernoulli sampling are sampling techniques.

See Poisson sampling and Bernoulli sampling

Bernoulli trial

In the theory of probability and statistics, a Bernoulli trial (or binomial trial) is a random experiment with exactly two possible outcomes, "success" and "failure", in which the probability of success is the same every time the experiment is conducted.

See Poisson sampling and Bernoulli trial

Independence (probability theory)

Independence is a fundamental notion in probability theory, as in statistics and the theory of stochastic processes.

See Poisson sampling and Independence (probability theory)

Poisson distribution

In probability theory and statistics, the Poisson distribution is a discrete probability distribution that expresses the probability of a given number of events occurring in a fixed interval of time if these events occur with a known constant mean rate and independently of the time since the last event.

See Poisson sampling and Poisson distribution

Poisson point process

In probability theory, statistics and related fields, a Poisson point process is a type of random mathematical object that consists of points randomly located on a mathematical space with the essential feature that the points occur independently of one another.

See Poisson sampling and Poisson point process

Sampling (statistics)

In statistics, quality assurance, and survey methodology, sampling is the selection of a subset or a statistical sample (termed sample for short) of individuals from within a statistical population to estimate characteristics of the whole population.

See Poisson sampling and Sampling (statistics)

Sampling design

In the theory of finite population sampling, a sampling design specifies for every possible sample its probability of being drawn.

See Poisson sampling and Sampling design

Sampling probability

In statistics, in the theory relating to sampling from finite populations, the sampling probability (also known as inclusion probability) of an element or member of the population, is its probability of becoming part of the sample during the drawing of a single sample.

See Poisson sampling and Sampling probability