Abstract

We propose a new model and approach for assessing count measurement systems when a gold standard or the true count is available. We assume that the true counts arise from a Poisson distribution and the observed counts are subject to two types of errors. First, we may miss a true defect and second, we may obtain a false positive by labeling something flawless as a defect. We initially consider a gold standard plan where we have access to all the information. Then we consider a second plan where we only know the true count. We compare and discuss these plans empirically and theoretically.

*Supplemental material accessed online through Taylor & Francis.