Expedient universal robust likelihood method for general dispersed count data

ABSTRACT

We 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.

KEYWORDS:

• Dispersion
• robust likelihood
• negative binomial

Acknowledgements

This work is supported by grant NSC102-2118-M-008-001-MY2 of National Science Council, Taiwan, R.O.C.