The effect of clustering on lot quality assurance sampling: a probabilistic model to calculate sample sizes for quality assessments

BACKGROUND: Traditional Lot Quality Assurance Sampling (LQAS) designs assume observations are collected using simple random sampling. Alternatively, randomly sampling clusters of observations and then individuals within clusters reduces costs but decreases the precision of the classifications. In th...

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Bibliografische gegevens
Hoofdauteurs: Hedt-Gauthier, Bethany L, Mitsunaga, Tisha, Hund, Lauren, Olives, Casey, Pagano, Marcello
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: BioMed Central 2013
Onderwerpen:
Methodology
Online toegang:https://ncbi.nlm.nih.gov/pmc/articles/PMC3819670/
https://ncbi.nlm.nih.gov/pubmed/24160725
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1742-7622-10-11
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