Expedient universal robust likelihood method for general dispersed count data

Tsung Shan Tsou

doi:10.1080/00949655.2016.1144187

Expedient universal robust likelihood method for general dispersed count data

Tsung Shan Tsou

Graduate Institute of Statistics

Research output: Contribution to journal › Article › peer-review

1 Scopus citations

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.

Original language	English
Pages (from-to)	2985-2994
Number of pages	10
Journal	Journal of Statistical Computation and Simulation
Volume	86
Issue number	15
DOIs	https://doi.org/10.1080/00949655.2016.1144187
State	Published - 12 Oct 2016

Keywords

Dispersion
negative binomial
robust likelihood

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10.1080/00949655.2016.1144187

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Expedient universal robust likelihood method for general dispersed count data

Abstract

Keywords

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