- The Statistical Evaluation of a Binary Test Based on Combined Samples
- Journal of Quality Technology
- Volume | Issue number
- 48 | 1
- Pages (from-to)
- Document type
- Faculty of Economics and Business (FEB)
- Amsterdam Business School Research Institute (ABS-RI)
The statistical evaluation of the reliability of binary tests and inspections is a challenging endeavor. In this paper, we propose an approach for the common situation where the true condition of the inspected items is unobservable (“gold-standard unavailable”), the probabilities of false acceptance and false rejection vary across items, and rejections are relatively rare. Our approach fits a latent-variable model, where the variability in misclassification probabilities is driven by a continuous property of a part. To deal with the low prevalence of rejections, we propose sampling items from multiple sources. The performance and properties of the estimators are assessed using simulation, asymptotic approximations, and a real-life case at a car-parts manufacturer.
If you believe that digital publication of certain material infringes any of your rights or (privacy) interests, please let the Library know, stating your reasons. In case of a legitimate complaint, the Library will make the material inaccessible and/or remove it from the website. Please Ask the Library, or send a letter to: Library of the University of Amsterdam, Secretariat, Singel 425, 1012 WP Amsterdam, The Netherlands. You will be contacted as soon as possible.