Results 1 to 10 of about 713,370 (259)
Representative Samples, Random Sampling
Cambio, 2022 della redazione: In the social sciences literature the expressions ‘random sample’ and ‘representative sample’ are often used improperly and sometimes even interchangeably by students who seem to think that sample is representative in so far, and ...
Alberto Marradi
doaj +2 more sources
On Certified Randomness from Fourier Sampling or Random Circuit Sampling [PDF]
QuantumCertified randomness has a long history in quantum information, with many potential applications. Recently Aaronson and Hung proposed a novel public certified randomness protocol based on existing random circuit sampling (RCS) experiments.
Roozbeh Bassirian +4 more
doaj +3 more sources
Random fields and random sampling [PDF]
Kybernetika, 2020 The authors study the limit in distribution of the maximum of a stationary bivariate real random field, sampled at double random times under some dependence conditions. It is shown that the limit distribution is a max-semistable distribution when the random samples have a geometric growth pattern. When the random field is sampled at double random times,
Sandra Dias, Maria da Graça Temido
openaire +1 more source
Discrete & Computational Geometry, 2020 We study randomized algorithms for constrained optimization, in abstract frameworks that include, in strictly increasing generality: convex programming; LP-type problems; violator spaces; and a setting we introduce, consistent spaces. Such algorithms typically involve a step of finding the optimal solution for a random sample of the constraints.
Kenneth L. Clarkson +3 more
openaire +6 more sources
Alternative Estimators for Stratified Random Sampling [PDF]
The Egyptian Statistical Journal, 1991 In this paper, two methods of estimation using estimators for stratified random sample are suggested. Two estimators are suggested for a positively correlated auxiliary variable and the other two are suggested for a negatively correlated auxiliary ...
Mounira Hussein
doaj +1 more source
Inclusive random sampling in graphs and networks
Applied Network Science, 2023 It is often of interest to sample vertices from a graph with a bias towards higher-degree vertices. One well-known method, which we call random neighbor or RN, involves taking a vertex at random and exchanging it for one of its neighbors.
Yitzchak Novick, Amotz Bar-Noy
doaj +1 more source
Field sampling methods for investigating forest-floor bryophytes: Microcoenose vs. random sampling [PDF]
Archives of Biological Sciences, 2018 Because of the high importance of bryophytes in forest ecosystems, it is necessary to develop standardized field sampling methodologies. The quadrat method is commonly used for bryophyte diversity and distribution pattern surveys.
Ilić Miloš +3 more
doaj +1 more source
Animals, 2021 Within paratuberculosis control programs Mycobacterium avium subsp. paratuberculosis (MAP)-infected herds have to be detected with minimum effort but with sufficient reliability.
Annika Wichert +4 more
doaj +1 more source
Biased Boltzmann samplers and generation of extended linear languages with shuffle [PDF]
Discrete Mathematics & Theoretical Computer Science, 2012 This paper is devoted to the construction of Boltzmann samplers according to various distributions, and uses stochastic bias on the parameter of a Boltzmann sampler, to produce a sampler with a different distribution for the size of the output.
Alexis Darrasse +3 more
doaj +1 more source
Statistical Analysis in the Presence of Spatial Autocorrelation: Selected Sampling Strategy Effects
Stats, 2022 Fundamental to most classical data collection sampling theory development is the random drawings assumption requiring that each targeted population member has a known sample selection (i.e., inclusion) probability.
Daniel A. Griffith, Richard E. Plant
doaj +1 more source