On the construction of unbiased estimators for the group testing problem
Links to Fileshttps://arxiv.org/abs/1801.10547
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Type of Work16 pages
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SubjectsBinomial sampling plans
Multinomial sampling plans
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 of such estimators for several cases. We show that, out-side of the standard case addressed previously in the literature, it is impossible to ﬁnd any proper unbiased estimator, that is, an estimator giving only values in the parameter space. This is shown to hold generally under any binomial or multinomial sampling plans.