A robust combined M-estimator for the negative binomial model
Robust inference for overdispersed count data is crucial in applications where outliers may substantially distort classical likelihood-based estimation of both the mean and dispersion. We develop robust estimation procedures for independent and identically distributed negative binomial data and provide practical guid...