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Article
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Biometrika
Article . 1977 . Peer-reviewed
Data sources: Crossref
Biometrika
Article . 1977 . Peer-reviewed
Data sources: Crossref
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Adjusted Orthogonality in Nonorthogonal Designs

Adjusted orthogonality in nonorthogonal designs
Authors: Eccleston, J. A.; Russell, K. G.;

Adjusted Orthogonality in Nonorthogonal Designs

Abstract

SUMMARY The concept of orthogonality of experimental designs and the factors of a design has been discussed by numerous authors and defined in a variety of ways which in general are equivalent. The analysis of experimental designs is simplified by the property of orthogonality. Nonorthogonal designs are usually analyzed by the method of reduction or adjustment of factors. Eccleston & Russell (1975) introduced the concept of orthogonality of adjusted factors. This is defined more generally here and several theorems are presented. It is shown that these results can be used to simplify the analysis of nonorthogonal designs, many of which exhibit some degree of adjusted orthogonality.

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Keywords

Statistical block designs, Factorial statistical designs

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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!
26
Average
Top 10%
Average
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