On the construction of unbiased estimators for the group testing problem

Gregory Haber & Yaakov Malinovsky
Debiased estimation has long been an area of research in the group testing litera-ture. This has led to the development of many estimators minimizing bias and, most recently, an unbiased estimator based on sequential binomial sampling. Previous research, however, has focused heavily on the simple case where no misclassification is assumed and only one trait is to be tested. In this paper, we consider the problem of unbiased estimation in these broader areas, giving constructions...
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