Optimality of mixed-level supersaturated designs

Shu Yamada; Tomomi Matsui

doi:10.1016/S0378-3758(01)00248-8

Optimality of mixed-level supersaturated designs

Shu Yamada, Tomomi Matsui

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

65 Citations (Scopus)

Abstract

This paper presents generalized theorems on the optimality of supersaturated designs in terms of low dependency over all pairs of column vectors. Some mixed-level supersaturated designs are constructed using a method based on these theorems. An index is proposed for measuring the efficiency of supersaturated design and applied to evaluate the constructed mixed-level supersaturated designs.

Original language	English
Pages (from-to)	459-468
Number of pages	10
Journal	Journal of Statistical Planning and Inference
Volume	104
Issue number	2
DOIs	https://doi.org/10.1016/S0378-3758(01)00248-8
Publication status	Published - 2002 Jun 1
Externally published	Yes

Keywords

Dependency between two columns
Lower bound of dependency
Saturated and orthogonal design
X statistic

ASJC Scopus subject areas

Statistics and Probability
Statistics, Probability and Uncertainty
Applied Mathematics

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10.1016/S0378-3758(01)00248-8

Cite this

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KW - Saturated and orthogonal design

KW - X statistic

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Optimality of mixed-level supersaturated designs

Abstract

Keywords

ASJC Scopus subject areas

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