population sampling, Bernoulli sampling is a sampling process where each element of the population is subjected to an independent Bernoulli trial which...

sampling (sometimes denoted as PO sampling: 61 ) is a sampling process where each element of the population is subjected to an independent Bernoulli trial...

interval Poisson sampling Sampling design Coin flipping Jacob Bernoulli Fisher's exact test Boschloo's test Papoulis, A. (1984). "Bernoulli Trials". Probability...

probability theory and statistics, the Bernoulli distribution, named after Swiss mathematician Jacob Bernoulli, is the discrete probability distribution...

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probability of drawing a sample S . {\displaystyle S.} During Bernoulli sampling, P ( S ) {\displaystyle P(S)} is given by P ( S ) = q N sample ( S ) × ( 1 − q...

Jacob Bernoulli (also known as James in English or Jacques in French; 6 January 1655 [O.S. 27 December 1654] – 16 August 1705) was a Swiss mathematician...

without-replacement sampling, the schema can become more complex.: 93  Bernoulli sampling Poisson distribution Poisson process Sampling design Carl-Erik...

success/failure experiment is also called a Bernoulli trial or Bernoulli experiment, and a sequence of outcomes is called a Bernoulli process; for a single trial, i...

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In probability and statistics, a Bernoulli process (named after Jacob Bernoulli) is a finite or infinite sequence of binary random variables, so it is...

business and medical research, sampling is widely used for gathering information about a population. Acceptance sampling is used to determine if a production...

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to denote Gy's sampling theory. Gy's sampling theory uses a model in which the sample taking is represented by independent Bernoulli trials for every...

random sampling (SRS, with or without replacement) and systematic sampling for getting a fixed sample size. There is also Bernoulli sampling with a random...

maintain and sample from a posterior distribution over models. As such, Thompson sampling is often used in conjunction with approximate sampling techniques...

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

probability, thus Bernoulli sampling is a good approximation for uniform sampling. Another simplification is to assume that entries are sampled independently...

a fixed number of total occurrences, sampling using a Pólya urn model (in some sense, the "opposite" of sampling without replacement) Categorical distribution...

A Bernoulli grip uses airflow to adhere to an object without physical contact. Such grippers rely on the Bernoulli airflow principle. While an accelerating...

In probability theory, the sample space (also called sample description space, possibility space, or outcome space) of an experiment or random trial is...

efficiently than alternative methods, such as case control sampling and weighted case control sampling. In classification, a dataset is a set of N data points...

This sampling scheme does not require more samples for more dimensions (variables); this independence is one of the main advantages of this sampling scheme...

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contexts, only one sample (i.e., a set of observations) is observed, but the sampling distribution can be found theoretically. Sampling distributions are...

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...

use adaptive routines such as stratified sampling, recursive stratified sampling, adaptive umbrella sampling or the VEGAS algorithm. A similar approach...

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

known as "Bernoulli's theorem". This should not be confused with Bernoulli's principle, named after Jacob Bernoulli's nephew Daniel Bernoulli. In 1837...

more general concept of sampling frame includes area sampling frames, whose elements have a geographic nature. Area sampling frames can be useful for...