2021
DOI: 10.1002/jcd.21799
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Row‐column factorial designs with multiple levels

Abstract: An m n × row-column factorial design is an arrangement of the elements of a factorial design into a rectangular array. Such an array is used in experimental design, where the rows and columns can act as How to cite this article: F. Rahim and N. J. Cavenagh, Row-column factorial designs with multiple levels,

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Cited by 5 publications
(3 citation statements)
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“…The property of being an array of type I 4 (9,9,3,2) eliminates confounding between each of the main effects. We refer the reader to [13] and [7] for a literature review on the application of row-column factorial designs to statistical experimental design. In this paper two arrays are equivalent under any: (a) reordering of rows; (b) reordering of columns; (c) reordering of levels (applied globally); and (d) reordering of the entries in each vector (with the same reordering applied globally).…”
Section: Introductionmentioning
confidence: 99%
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“…The property of being an array of type I 4 (9,9,3,2) eliminates confounding between each of the main effects. We refer the reader to [13] and [7] for a literature review on the application of row-column factorial designs to statistical experimental design. In this paper two arrays are equivalent under any: (a) reordering of rows; (b) reordering of columns; (c) reordering of levels (applied globally); and (d) reordering of the entries in each vector (with the same reordering applied globally).…”
Section: Introductionmentioning
confidence: 99%
“…Necessary and sufficient conditions for a row-column factorial design of strength 1 are given in [13], generalizing [7] and [16].…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation