ESTIMATION THROUGH ARRAY-BASED GROUP TESTS

* Pooling individual samples for batch testing is a common procedure for reducing costs. The recent use of multidimensional array algorithms, due to the emergence of robotic pooling, is an innovative way of pooling. We show that the two-dimensional array-based group tests can provide accurate estima...

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Bibliographic Details
Published inRevstat Vol. 15; no. 4; p. 487
Main Authors Ma, Felgueiras, Miguel
Format Journal Article
LanguageEnglish
Published Instituto Nacional de Estatistica 01.10.2017
Instituto Nacional de Estatística | Statistics Portugal
Subjects
Algorithms
array
estimation
Mathematical research
pooled samples
prevalence rate
Sampling (Statistics)
Online AccessGet full text
ISSN1645-6726
2183-0371
DOI10.57805/revstat.v15i4.223

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Summary:* Pooling individual samples for batch testing is a common procedure for reducing costs. The recent use of multidimensional array algorithms, due to the emergence of robotic pooling, is an innovative way of pooling. We show that the two-dimensional array-based group tests can provide accurate estimates for the prevalence rate even for situations in which the traditional estimators, applied to one-dimensional arrays, are not valid. Hence, a computational script was developed to determine which prevalence rate estimate minimizes the sum of the squared deviations between the number of observed and expected rows and columns whose pooled sample had a positive test result. Key-Words: * estimation; prevalence rate; pooled samples; array. AMS Subject Classification: * 62F10, 62P10.
ISSN:1645-6726
2183-0371
DOI:10.57805/revstat.v15i4.223