Comparing Multiple Independent Groups

Rand R. Wilcox
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Rand R. Wilcox: University of Southern California, Department of Psychology

Chapter Chapter 5 in A Guide to Robust Statistical Methods, 2023, pp 97-133 from Springer

Abstract: Abstract This chapter extends the methods in Chap. 3 to situations where there are more than two independent groups. Certainly the best-known and most commonly used approach is to focus on some measure of location, say θ $$\theta $$ . A very common strategy when dealing with J > 2 $$J>2$$ groups is to first test H 0 : θ 1 = θ 2 = ⋯ = θ J . $$\displaystyle H_0: \theta _1=\theta _2 = \cdots = \theta _J. $$ Another approach is to simply test H 0 : θ j = θ k , $$\displaystyle H_0: \theta _j = \theta _k, $$ for every j

Date: 2023
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DOI: 10.1007/978-3-031-41713-9_5

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