Sample Size under Inverse Negative Binomial Group Testing for Accuracy in Parameter Estimation

Osval Antonio Montesinos-López, Abelardo Montesinos-López, José Crossa and Kent Eskridge

PLOS ONE, 2012, vol. 7, issue 3, 1-11

Abstract: Background: The group testing method has been proposed for the detection and estimation of genetically modified plants (adventitious presence of unwanted transgenic plants, AP). For binary response variables (presence or absence), group testing is efficient when the prevalence is low, so that estimation, detection, and sample size methods have been developed under the binomial model. However, when the event is rare (low prevalence

Date: 2012
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0032250 (text/html)
https://journals.plos.org/plosone/article/file?id= ... 32250&type=printable (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0032250

DOI: 10.1371/journal.pone.0032250

Access Statistics for this article

More articles in PLOS ONE from Public Library of Science
Bibliographic data for series maintained by plosone (plosone@plos.org).