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Advisor(s)
Abstract(s)
In many relevant situations, such as in medical research, sample sizes may not be previously known. The
aim of this paper is to extend one and more than one-way analysis of variance to those situations and
show how to compute correct critical values. The interest of this approach lies in avoiding false rejections
obtained when using the classical fixed size F-tests. Sample sizes are assumed as random and we then
proceed with the application of this approach to a database on cancer.
Description
Keywords
Critical values Orthogonal ANOVA Random degrees of freedom Random sample sizes