Cyclic circular balanced and strongly balanced crossover designs through integer programming

B. N. Mandal, Rajender Parsad and V. K. Gupta

Communications in Statistics - Theory and Methods, 2016, vol. 45, issue 4, 859-871

Abstract: This article proposes a new linear integer programming approach to obtain cyclic circular balanced and strongly balanced crossover designs for a given number of treatments v, number of periods p, and number of units n. The linear integer programming approach has been used for generating a sequence of treatments to be assigned to the units. Using this approach, cyclic circular balanced and strongly balanced crossover designs for v

Date: 2016
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DOI: 10.1080/03610926.2013.853787

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