Designs for first-order interactions in paired comparison experiments with two-level factors

Heiko Großmann; Rainer Schwabe; Steven G. Gilmour

doi:10.1016/j.jspi.2012.02.033

Designs for first-order interactions in paired comparison experiments with two-level factors

Heiko Großmann^*, Rainer Schwabe, Steven G. Gilmour

^*Corresponding author for this work

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

8 Citations (Scopus)

Abstract

For paired comparison experiments involving options described by a common set of two-level factors a new method for generating exact designs is presented. These designs allow the efficient estimation of main effects and first-order interactions and perform better than alternative designs available in the literature.

Original language	English
Pages (from-to)	2395-2401
Number of pages	7
Journal	JOURNAL OF STATISTICAL PLANNING AND INFERENCE
Volume	142
Issue number	8
DOIs	https://doi.org/10.1016/j.jspi.2012.02.033
Publication status	Published - Aug 2012

Keywords

Design construction
Optimal design
Paired comparisons

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10.1016/j.jspi.2012.02.033

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title = "Designs for first-order interactions in paired comparison experiments with two-level factors",

abstract = "For paired comparison experiments involving options described by a common set of two-level factors a new method for generating exact designs is presented. These designs allow the efficient estimation of main effects and first-order interactions and perform better than alternative designs available in the literature.",

keywords = "Design construction, Optimal design, Paired comparisons",

author = "Heiko Gro{\ss}mann and Rainer Schwabe and Gilmour, {Steven G.}",

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T1 - Designs for first-order interactions in paired comparison experiments with two-level factors

AU - Großmann, Heiko

AU - Schwabe, Rainer

AU - Gilmour, Steven G.

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N2 - For paired comparison experiments involving options described by a common set of two-level factors a new method for generating exact designs is presented. These designs allow the efficient estimation of main effects and first-order interactions and perform better than alternative designs available in the literature.

AB - For paired comparison experiments involving options described by a common set of two-level factors a new method for generating exact designs is presented. These designs allow the efficient estimation of main effects and first-order interactions and perform better than alternative designs available in the literature.

KW - Design construction

KW - Optimal design

KW - Paired comparisons

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U2 - 10.1016/j.jspi.2012.02.033

DO - 10.1016/j.jspi.2012.02.033

M3 - Article

AN - SCOPUS:84859594952

SN - 0378-3758

VL - 142

SP - 2395

EP - 2401

JO - JOURNAL OF STATISTICAL PLANNING AND INFERENCE

JF - JOURNAL OF STATISTICAL PLANNING AND INFERENCE

IS - 8

ER -

Designs for first-order interactions in paired comparison experiments with two-level factors

Abstract

Keywords

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