Optimal and efficient crossover designs for comparing test treatments with a control treatment

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dc.creatorHedayat, A. S.
dc.creatorYang, Min
dc.date2005-05-30
dc.date.accessioned2026-07-07T08:06:57Z
dc.date.available2026-07-07T08:06:57Z
dc.descriptionThis paper deals exclusively with crossover designs for the purpose of comparing t test treatments with a control treatment when the number of periods is no larger than t+1. Among other results it specifies sufficient conditions for a crossover design to be simultaneously A-optimal and MV-optimal in a very large and appealing class of crossover designs. It is expected that these optimal designs are highly efficient in the entire class of crossover designs. Some computationally useful tools are given and used to build assorted small optimal and efficient crossover designs. The model robustness of these newly discovered crossover designs is discussed.
dc.descriptionPublished at http://dx.doi.org/10.1214/009053604000000887 in the Annals of Statistics (http://www.imstat.org/aos/) by the Institute of Mathematical Statistics (http://www.imstat.org)
dc.identifierhttps://arxiv.org/abs/math/0505641
dc.identifierhttp://arxiv.org/abs/math/0505641
dc.identifierAnnals of Statistics 2005, Vol. 33, No. 2, 915-943
dc.identifierdoi:10.1214/009053604000000887
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/130783
dc.subjectStatistics Theory
dc.subject62K05 (Primary) 62K10 (Secondary)
dc.titleOptimal and efficient crossover designs for comparing test treatments with a control treatment
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