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**Geometric isomorphism and minimum aberration for factorial designs with quantitative factors.**
*(English)*
Zbl 1056.62088

Summary: Factorial designs have broad applications in agricultural, engineering and scientific studies. In constructing and studying properties of factorial designs, traditional design theory treats all factors as nominal. However, this is not appropriate for experiments that involve quantitative factors. For designs with quantitative factors, level permutation of one or more factors in a design matrix could result in different geometric structures, and, thus, different design properties.

In this paper, indicator functions are introduced to represent factorial designs. A polynomial form of indicator functions is used to characterize the geometric structure of those designs. A geometric isomorphism is defined for classifying designs with quantitative factors. Based on indicator functions, a new aberration criterion is proposed and some minimum aberration designs are presented.

In this paper, indicator functions are introduced to represent factorial designs. A polynomial form of indicator functions is used to characterize the geometric structure of those designs. A geometric isomorphism is defined for classifying designs with quantitative factors. Based on indicator functions, a new aberration criterion is proposed and some minimum aberration designs are presented.

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\textit{S.-W. Cheng} and \textit{K. Q. Ye}, Ann. Stat. 32, No. 5, 2168--2185 (2004; Zbl 1056.62088)

### References:

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