A comparison of tests for homoscedasticity using simulation and empirical data
Anastasios Katsileros,
Nikolaos Antonetsis,
Paschalis Mouzaidis
et al.
Abstract:The assumption of homoscedasticity is one of the most crucial assumptions for many parametric tests used in the biological sciences. The aim of this paper is to compare the empirical probability of type I error and the power of ten parametric and two non-parametric tests for homoscedasticity with simulations under different types of distributions, number of groups, number of samples per group, variance ratio and significance levels, as well as through empirical data from an agricultural experiment. According t… Show more
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