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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Main Authors: Hedt-Gauthier, Bethany L, Mitsunaga, Tisha, Hund, Lauren, Olives, Casey, Pagano, Marcello
Format: Artigo
Jezik:Inglês
Izdano: BioMed Central 2013
Teme:
Methodology
Online dostop: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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