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OJBTM
Online
Journal of Bioinformatics©
Volume 8 (1):45-55, 2007.
Unbalanced Factorial
Design: Use of Type(s) I, II and III Sums of
Squares
Boyacýoðlu H, Baskan
O
ABSTRACT
Boyacýoðlu H, Baskan O, Unbalanced Factorial Design: Use of Type(s) I, II and
III Sums of Squares, Online J Bioinformatics, 8 (1):45-55, 2007. Analysis
of variance with unbalanced data in biology often presents difficulties. The
history of the analysis of variance with unbalanced data can be traced back to Yates in 1933 and 1934. Which types of sums of squares(SS) to use for unbalanced designs is controversial.
In this study, a two-way analysis of variance (ANOVA) technique with unbalanced
data was examined, and in this sense, Type I (Weighted Means), Type II (Yates’s
method of fitting constants), Type III (Yates’s weighted squares of means)
methods were evaluated. The purpose of this work is to present meaningful
evaluations of unbalanced conditions.
Keywords: fitting
Constants, unbalanced data, (Posidonia oceanica(L.),
weighted means, weighted squares of means
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