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Hypergeometric group testing with incomplete information

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Author Info
Bar-Lev, S.K.
Stadje, W.
Duyn Schouten, F.A. van der (Tilburg University, Center for Economic Research)
Abstract

We study several group testing models with and without processing times. The objective is to choose an optimal group size for pooled screening of a contaminated population so as to collect a prespeciffied number of good items from it with minimumtesting expenditures. The tested groups that are found contaminated are used as new sampling population in later stages of the procedures. Since testing may be time-consuming, we also consider deadlines to be met for the testing process. We derive algorithms and exact results for the underlying distributions enabling us to find optimal procedures. Several numerical examples are given.

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Paper provided by Tilburg University, Center for Economic Research in its series Discussion Paper with number 74.

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Date of creation: 2002
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Handle: RePEc:dgr:kubcen:200274

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  1. Duyn Schouten, F.A. van der & Bar-Lev, S.K. & Stadje, W., 2003. "Multinomial group testing models with incomplete identification," Discussion Paper 82, Tilburg University, Center for Economic Research. [Downloadable!]
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This page was last updated on 2009-12-21.


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