In this paper, we propose a goodness-of-fit test based on the energy statistic for skew normality. Simulations indicate that
the Type-I error of the proposed test can be controlled reasonably well for given nominal levels. Power comparisons to other existing methods
under different settings show the advantage of the proposed test. Such a test is applied to two real data sets to illustrate the testing procedure.
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