136 citations · 318 across the 13 of their papers we have counts for
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stat.CO2014★ 24 cited
Bootstrap-based model selection criteria for beta regressions
Fábio M. Bayer, Francisco Cribari-Neto
The Akaike information criterion (AIC) is a model selection criterion widely used in practical applications. The AIC is an estimator of the log-likelihood expected value, and measu…
stat.CO2014★ 12 cited
Model selection criteria in beta regression with varying dispersion
Fábio M. Bayer, Francisco Cribari-Neto
We address the issue of model selection in beta regressions with varying dispersion. The model consists of two submodels, namely: for the mean and for the dispersion. Our focus is…