Multinomial group testing models with incomplete identification

DOI10.1016/j.jspi.2004.05.011zbMath1074.62051OpenAlexW2584238326MaRDI QIDQ2573520

Wolfgang Stadje, Shaul K. Bar-Lev, Frank A. Van der Duyn Schouten

Publication date: 22 November 2005

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

Full work available at URL: https://pure.uvt.nl/ws/files/546395/82.pdf

zbMATH Keywords

Stopping ruleGroup testingMultinomial trialsOptimal group sizeOptimal truncation

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Applications of statistics in engineering and industry; control charts (62P30) Sequential statistical methods (62L99) Sequential statistical design (62L05) Optimal stopping in statistics (62L15)

Related Items (8)

Applications of bulk queues to group testing models with incomplete identification ⋮ Applicability of a static model in a dynamic context in group-screening decision making ⋮ Tandem queues with impatient customers for blood screening procedures ⋮ Sequential estimation in the group testing problem ⋮ Recycled incomplete identification procedures for blood screening ⋮ A two-stage group testing model for infections with window periods ⋮ A queueing model for general group screening policies and dynamic item arrivals ⋮ Revisiting Nested Group Testing Procedures: New Results, Comparisons, and Robustness

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