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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
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Exploring mixture estimators in stratified random sampling. [PDF]
PLoS ONEAdvancements in sensor technology have brought a revolution in data generation. Therefore, the study variable and several linearly related auxiliary variables are recorded due to cost-effectiveness and ease of recording.
Kanwal Iqbal +3 more
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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
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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
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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
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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
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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
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Quantifying errors without random sampling
BMC Medical Research Methodology, 2003 Background All quantifications of mortality, morbidity, and other health measures involve numerous sources of error. The routine quantification of random sampling error makes it easy to forget that other sources of error can and should be quantified ...
LaPole Luwanna M, Phillips Carl V
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Sampling of Random Data Streams
Advances in Electrical and Electronic Engineering, 2011 Modern telecommunication networks work on the transmission method of common data streams in which data bursts consisting of packets that further consist of particular bits are multiplexed from various traffic sources.
Gustav Cepciansky, Ladislav Schwartz
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Determination of Sample Size and Observation Units
International Journal of Assessment Tools in Education, 2019 The purpose of this study was to write programsto define sampling sizes and observation units by probability sampling methodsand to provide an idea for software developers. Thealgorithms of the programs were written in Python 3.
Tülin Acar
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