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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: | , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2013
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| Assuntos: | |
| Acesso em linha: | 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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