Factorial designs and the theory of trade-off

John Stufken; Kui Jang Wang

doi:10.1016/0167-7152(92)90155-X

Factorial designs and the theory of trade-off

John Stufken, Kui Jang Wang

Research output: Contribution to journal › Article › peer-review

Abstract

We consider a method to construct factorial designs with all factors at two levels and with an information matrix, pertaining to a specified model, that is equal to the information matrix for a given design. The method is based on a relation between this problem and the problem of trade-off in block designs. By exploring this relation, the extensive results on t-trades can be used for the construction of the desired factorial designs. This provides also additional incentive for the continued development of the theory of trade-off.

Original language	English (US)
Pages (from-to)	369-372
Number of pages	4
Journal	Statistics and Probability Letters
Volume	15
Issue number	5
DOIs	https://doi.org/10.1016/0167-7152(92)90155-X
State	Published - Dec 8 1992
Externally published	Yes

Keywords

Block designs
t-trades

ASJC Scopus subject areas

Statistics and Probability
Statistics, Probability and Uncertainty

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10.1016/0167-7152(92)90155-X

Cite this

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AB - We consider a method to construct factorial designs with all factors at two levels and with an information matrix, pertaining to a specified model, that is equal to the information matrix for a given design. The method is based on a relation between this problem and the problem of trade-off in block designs. By exploring this relation, the extensive results on t-trades can be used for the construction of the desired factorial designs. This provides also additional incentive for the continued development of the theory of trade-off.

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ER -

Factorial designs and the theory of trade-off

Abstract

Keywords

ASJC Scopus subject areas

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