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Repeated measurements designs (RMDs) are mostly used in animal sciences, pharmacology, medicine, and animal husbandry, etc. But residual effects are often a serious problem in such experiments. In literature, minimal strongly balanced RMDs have been introduced to overcome this problem under low budget constraints, but these designs cannot be constructed for every number of treatments and period sizes. As an alternate, generalized strongly balanced RMDs can be preferred since they yield results close to those of strongly balanced RMDs. Here, some generators are proposed for generalized strongly balanced RMDs which possess the high efficiency of Separability. [ABSTRACT FROM AUTHOR]

Residual effects in repeated measurements design leads to wrong estimation of direct treatment effects. Due to that minimal balanced repeated measurement designs and strongly balanced repeated measurements designs are preferred to balance the residual effects. When these minimal designs could not be constructed then minimal partially balanced repeated measurement designs and generalized strongly balanced RMDs are used. In this article, some new generators are developed to obtain the generalized classes of minimal circular strongly balanced RMDs which can be converted directly into minimal circular balanced and strongly balanced RMDs. [ABSTRACT FROM AUTHOR]

Minimal balanced repeated measurements designs (RMDs) are not possible to construct in several experimental situations. In these situations, weakly balanced RMDs are preferred which demand less experimental subjects without loss of efficiency. In this article, several generators are developed to construct the minimal circular weakly balanced RMDs in periods of (i) equal sizes, (ii) two different sizes, and (iii) three different sizes. All these constructions possess high efficiency and save the cost of experiments due to less number of experimental subjects. [ABSTRACT FROM AUTHOR]