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

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

Emulator, Akai S950 and Akai MPC. Sampling is a foundation of hip-hop, which emerged when producers in the 1980s began sampling funk and soul records, particularly...

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...

Nyquist–Shannon sampling theorem is an essential principle for digital signal processing linking the frequency range of a signal and the sample rate required...

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

selected until the required sample size is achieved. Along with convenience sampling and snowball sampling, consecutive sampling is one of the most commonly...

sampling or Gibbs sampling. (However, Gibbs sampling, which breaks down a multi-dimensional sampling problem into a series of low-dimensional samples...

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

Top-p sampling, also called nucleus sampling, is a technique for autoregressive language model decoding proposed by Ari Holtzman et al. in 2019. Before...

probability sample of the household population in the United States are Area Probability Sampling, Random Digit Dial telephone sampling, and more recently...

systematic sampling is a statistical method involving the selection of elements from an ordered sampling frame. The most common form of systematic sampling is...

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

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

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...

Adaptive sampling is an approach to sampling that uses heuristics to provide efficiency. The term adaptive sampling represents a general approach to the...

Gy's sampling theory is a theory about the sampling of materials, developed by Pierre Gy from the 1950s to beginning 2000s in articles and books including:...

In statistics, Gibbs sampling or a Gibbs sampler is a Markov chain Monte Carlo (MCMC) algorithm for sampling from a specified multivariate probability...

country. Since sampling is almost always done to estimate population parameters that are unknown, by definition exact measurement of the sampling errors will...

phenomenon under study rather than to the method of sampling. Medical sources sometimes refer to sampling bias as ascertainment bias. Ascertainment bias has...

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

this sense, the sample is the gathered matter, and the sampling tool or sampler is the person or material to collect the sample. Sampling is a prerequisite...

sampling theory may mean: Nyquist–Shannon sampling theorem, digital signal processing (DSP) Statistical sampling Fourier sampling This disambiguation...

random errors that are not due to sampling. Non-sampling errors are much harder to quantify than sampling errors. Non-sampling errors in survey estimates can...

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

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

rare event sampling techniques. Contemporary methods include transition-path sampling (TPS), replica exchange transition interface sampling (RETIS), repetitive...

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...