| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 10538197 | Chemometrics and Intelligent Laboratory Systems | 2005 | 12 Pages |
Abstract
Given a control cost function depending on the number of groups to analyse and on the total number of grains, we describe in this paper a practical way to get the least expensive acceptance sampling plan keeping both the consumer's and the producer's risks below a predetermined threshold. The method is more specially illustrated by examples in GMO detection.
Related Topics
Physical Sciences and Engineering
Chemistry
Analytical Chemistry
Authors
A. Kobilinsky, Y. Bertheau,