Abstract
ABSTRACTWe introduce a universal robust likelihood approach for regression analysis of general count data. The robust likelihood function is able to accommodate a wide range of dispersion and is insensitive to model failures. We use simulations and real data analysis to demonstrate the merit of the robust procedure.
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