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Medientyp:
E-Artikel
Titel:
Graphical Representations of Tukey's Multiple Comparison Method
Beteiligte:
Hsu, Jason C.;
Peruggia, Mario
Erschienen:
American Statistical Association, Institute of Mathematical Statistics, and Interface Foundation of North America, 1994
Erschienen in:
Journal of Computational and Graphical Statistics, 3 (1994) 2, Seite 143-161
Sprache:
Englisch
ISSN:
1061-8600
Entstehung:
Anmerkungen:
Beschreibung:
<p>Tukey's multiple comparison method is widely implemented in statistical packages. We list the inferential and perceptual tasks a graphical representation of Tukey's method may be required to perform, and show that the most commonly used graphical representations (underlining, line-by-line plotting, notched boxplots, and comparison circles) are all lacking in some respect. A new graphical representation, based on the mean-mean scatterplot, is proposed instead. This representation performs all the inferential and perceptual tasks not only in an unbalanced one-way model, but also in a general linear model. An event-driven, color-graphics implementation is presented. Finally, issues for future research, such as color perception and comparative experimentation, are briefly discussed.</p>