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A survey and evaluation of methods for determination of combinatorial equivalence of factorial designs

A survey and evaluation of methods for determination of combinatorial equivalence of factorial designs
A survey and evaluation of methods for determination of combinatorial equivalence of factorial designs
Equivalent factorial designs have identical statistical properties for estimation of factorial contrasts and for model fitting. Non-equivalent designs, however, may have the same statistical properties under one particular model but different properties under a different model. In this paper, we describe known methods for the determination of equivalence or non-equivalence of two-level factorial designs, whether they be regular factorial designs, non-regular orthogonal arrays, or have no particular structure. In addition, we evaluate a number of potential fast screening methods for detecting non-equivalence of designs. Although the paper concentrates mainly on symmetric designs with factors at two levels, we also evaluate methods of determining combinatorial equivalence and non-equivalence of three-level designs and indicate extensions to larger numbers of levels and to asymmetric designs.
combinatorial equivalence, deseq algorithm, design isomorphism, factorial experiment, hamming distance, hamming weight, indicator function, j-characteristic
0378-3758
245-258
Katsaounis, T.I.
27b4aa60-a2db-4d8c-9814-cc87a098eab1
Dean, A.M.
9c90540a-cdf4-44ce-9d34-6b7b495a1ea3
Katsaounis, T.I.
27b4aa60-a2db-4d8c-9814-cc87a098eab1
Dean, A.M.
9c90540a-cdf4-44ce-9d34-6b7b495a1ea3

Katsaounis, T.I. and Dean, A.M. (2008) A survey and evaluation of methods for determination of combinatorial equivalence of factorial designs. [in special issue: International Conference on Design of Experiments (ICODOE)] Journal of Statistical Planning and Inference, 138 (1), 245-258. (doi:10.1016/j.jspi.2007.05.008).

Record type: Article

Abstract

Equivalent factorial designs have identical statistical properties for estimation of factorial contrasts and for model fitting. Non-equivalent designs, however, may have the same statistical properties under one particular model but different properties under a different model. In this paper, we describe known methods for the determination of equivalence or non-equivalence of two-level factorial designs, whether they be regular factorial designs, non-regular orthogonal arrays, or have no particular structure. In addition, we evaluate a number of potential fast screening methods for detecting non-equivalence of designs. Although the paper concentrates mainly on symmetric designs with factors at two levels, we also evaluate methods of determining combinatorial equivalence and non-equivalence of three-level designs and indicate extensions to larger numbers of levels and to asymmetric designs.

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More information

e-pub ahead of print date: 13 May 2007
Published date: 1 January 2008
Keywords: combinatorial equivalence, deseq algorithm, design isomorphism, factorial experiment, hamming distance, hamming weight, indicator function, j-characteristic
Organisations: Statistics, Statistical Sciences Research Institute

Identifiers

Local EPrints ID: 339782
URI: http://eprints.soton.ac.uk/id/eprint/339782
ISSN: 0378-3758
PURE UUID: 050ee91a-463d-40ce-812e-35cac907376d

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Date deposited: 30 May 2012 13:22
Last modified: 14 Mar 2024 11:15

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Contributors

Author: T.I. Katsaounis
Author: A.M. Dean

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