Balanced Fractional $2^m$ Factorial Designs of Even Resolution Obtained from Balanced Arrays of Strength $2l$ with Index $\mu_l = 0$
The Annals of Statistics · 1976 · Volume 4 · Issue 4
Abstract
Consider a balanced array $T$ of strength 2$l,$ size $N, m$ constraints and index set $\{\mu_0, \mu_1,\cdots, \mu_{2l}\}$ with $\mu_l = 0$. Under some conditions $T$ yields a design of even resolution ($2l$, say) with $N$ assemblies such that all the effects involving up to $(l - 1)$-factor interactions are estimable provided $(l + 1)$-factor and higher order interactions are assumed negligible and that the covariance matrix of their estimates is invariant under any permutation of $m$ factors. The alias structure of the effects of $l$-factor interactions is explicitly given. Such an array $T$ is called an $S$-type balanced fractional $2^m$ factorial design of resolution $2l$. Necessary conditions for the existence of the design $T$ are given. For any given $N$, there are in general a large number of possible $S$-type balanced fractional $2^m$ factorial designs of resolution $2l$. Finally a criterion for comparing these designs is given.
Keywords
05B30, 62K15, association algebra, balanced arrays, balanced designs, contrasts, Covariance matrix, even resolution, optimality
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