MISS: finding optimal sample sizes for approximate analytics
Sign Up to like & getrecommendations! 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… read more here.
Keywords: sample; miss finding; textsc miss; optimal sample ... See more keywords
Optimal Sample Size for the Birnbaum-Saunders Distribution under Decision Theory with Symmetric and Asymmetric Loss Functions
Sign Up to like & getrecommendations! 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… read more here.
Keywords: optimal sample; methodology; birnbaum saunders; sample size ... See more keywords