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Sample size under inverse negative binomial group testing for accuracy in parameter estimationMarked, biased, filter (MBF): use of digital X-radiography and mark-recapture to partition seed lots based on sampled individual seed quality attributesOptimal sample size for estimating the proportion of transgenic plants using the Dorfman model with a random confidence interval
P2860
description
article
@en
wetenschappelijk artikel
@nl
наукова стаття, опублікована в травні 2008
@uk
name
Probability models for detecting transgenic plants
@en
Probability models for detecting transgenic plants
@nl
type
label
Probability models for detecting transgenic plants
@en
Probability models for detecting transgenic plants
@nl
prefLabel
Probability models for detecting transgenic plants
@en
Probability models for detecting transgenic plants
@nl
P2093
P2860
P1476
Probability models for detecting transgenic plants
@en
P2093
Carlos M. Hernández-Suárez
Graham McLaren
José Crossa
Osval A. Montesinos-López
P2860
P356
10.1017/S0960258508975565
P577
2008-05-09T00:00:00Z