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Published in 2022 at "Distributed and Parallel Databases"
DOI: 10.1007/s10619-021-07376-5
Abstract: Nowadays, sampling-based Approximate Query Processing (AQP) is widely regarded as a promising way to achieve interactivity in big data analytics. To build such an AQP system, finding the minimal sample size for a query regarding…
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Keywords:
sample;
miss finding;
textsc miss;
optimal sample ... See more keywords
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Published in 2025 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2025.3550280
Abstract: Modern high-dimensional datasets are often formed by acquiring samples from multiple sources having heterogeneous quality, i.e., some sources are noisier than others. Collecting data in this manner raises the following natural question: what is the…
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Keywords:
optimal sample;
optimally weighted;
quality sources;
weighted pca ... See more keywords
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Published in 2024 at "PLOS ONE"
DOI: 10.1371/journal.pone.0307710
Abstract: Background Generalizability theory is widely used in psychological and educational measurement. Budget and cost are the problems that cannot be neglected in the measurement. When there is a budget constraint, the generalizability theory needs to…
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Keywords:
generalizability;
sample size;
optimal sample;
lagrange multiplier ... See more keywords
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Published in 2025 at "Land"
DOI: 10.3390/land14030545
Abstract: The transition from conventional soil mapping (CSM) to digital soil mapping (DSM) not only affects the final map products, but it also affects the concepts of scale, resolution, and sampling intensity. This is critical because…
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Keywords:
sample size;
soil mapping;
size;
sample ... See more keywords
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Published in 2021 at "Symmetry"
DOI: 10.3390/sym13060926
Abstract: The fatigue-life or Birnbaum–Saunders distribution is an asymmetrical model that has been widely applied in several areas of science and mainly in reliability. Although diverse methodologies related to this distribution have been proposed, the problem…
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Keywords:
optimal sample;
methodology;
birnbaum saunders;
sample size ... See more keywords
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Published in 2024 at "Theoretical Economics"
DOI: 10.3982/te4840
Abstract: A statistical decision rule is a mapping from data to actions induced by statistical inference on the data. We characterize these rules for data that are chosen strategically in persuasion environments. A designer wishes to…
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Keywords:
sizes statistical;
optimal sample;
decision;
sample sizes ... See more keywords