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https://dx.doi.org/10.48550/ar...
Article . 2017
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Algebraic characterization of regular fractions under level permutations

Authors: Maria Piera Rogantin; Fabio Rapallo;

Algebraic characterization of regular fractions under level permutations

Abstract

In this paper we study the behavior of the fractions of a factorial design under permutations of the factor levels. We focus on the notion of regular fraction and we introduce methods to check whether a given symmetric orthogonal array can or can not be transformed into a regular fraction by means of suitable permutations of the factor levels. The proposed techniques take advantage of the complex coding of the factor levels and of some tools from polynomial algebra. Several examples are described, mainly involving factors with five levels.

23 pages, including two appendices

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Keywords

Methodology (stat.ME), FOS: Computer and information sciences, Algebraic statistics, Complex coding, Fractional factorial designs, Indicator function, Isomorphic fractions, Orthogonal arrays, Regular fractions, 62K15, 13P10, FOS: Mathematics, Mathematics - Statistics Theory, Statistics Theory (math.ST), Statistics - Methodology

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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