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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Detalles Bibliográficos
Autores principales: Hedt-Gauthier, Bethany L, Mitsunaga, Tisha, Hund, Lauren, Olives, Casey, Pagano, Marcello
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
Materias:
Methodology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3819670/
https://www.ncbi.nlm.nih.gov/pubmed/24160725
http://dx.doi.org/10.1186/1742-7622-10-11

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3819670/
https://www.ncbi.nlm.nih.gov/pubmed/24160725
http://dx.doi.org/10.1186/1742-7622-10-11

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