Metodebevisregistrering

Robust Negative Binomial Regression

Robust Negative Binomial Regression models overdispersed count outcomes using the negative binomial distribution while protecting coefficient inference against misspecification of the variance function. It pairs maximum-likelihood estimation of the mean and dispersion parameters with sandwich (Huber-White) standard errors, yielding valid tests even when the assumed variance structure is only approximately correct.

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Taksonomisk metoderegistrering · regression-model / statistics

Hilbe, J. M. (2011). Negative Binomial Regression (2nd ed.). Cambridge University Press. · ISBN 978-0521198158
Zeileis, A., Kleiber, C., & Jackman, S. (2008). Regression Models for Count Data in R. Journal of Statistical Software, 27(8), 1–25. · DOI 10.18637/jss.v027.i08

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