Current exploratory procedures to identify distributions in simulation modeling often use statistics which have relatively low power in distributional #x201C;goodness-of-fit#x201D; tests. When sample data are scarce, this may lead to a misidentification of the true distribution and ultimately to a misrepresentation of the investigated system.
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