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Optimality of designs with generalized group divisible structure. (English) Zbl 0937.62077

Summary: The generalized group divisible designs with \(s\) groups, or GGDD(\(s\))s, are defined in terms of the elements of the information matrix, rather than in terms of the elements of the concurrence matrix as has been done previously. This definition extends the class of designs to include nonbinary members, and allows for broader optimality results. Several sufficient conditions are derived for the designs to be \(E\)- and \(MV\)-optimal. It is further shown how augmentation of additional blocks to certain GGDD(\(s\))s produces infinite series of other nonbinary, unequally replicated \(E\)- and \(MV\)-optimal block designs. Where nonbinary designs are found, they can be preferable to binary designs in terms of interpretability as well as one or more formal optimality criteria.

MSC:

62K05 Optimal statistical designs
62K10 Statistical block designs
Full Text: DOI

References:

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