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The Effect of Categorization on Balanced Incomplete Blocks and Latin Squares

✍ Scribed by J. C. W. Rayner; G. F. Liddell; A. J. Seyb

Publisher: John Wiley and Sons
Year: 1992
Tongue: English
Weight: 670 KB
Volume: 34
Category: Article
ISSN: 0323-3847
DOI: 10.1002/bimj.4710340105

No coin nor oath required. For personal study only.

✦ Synopsis

Robustness in the various analysis of variance models should be assessed with regard to all the assumptions. Here we assess the etTect of the continuity assumption. The models considered were chosen because they are in a sense fragile, and the elTects might be anticipated to be more dramatic here. We identify at least one of the balanced incomplete block models for which severe categorization leads to tests with unacceptable sizes and aberrant power curves. Otherwise most of the models examined are generally satisfactory -that is, robust with respect to the continuity assumption.

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