163 citations · 1.5k across the 45 of their papers we have counts for
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3 papers · 1 filter
stat.CO2017
Bootstrap-based inferential improvements in beta autoregressive moving average model
Bruna Gregory Palm, Fábio M. Bayer
We consider the issue of performing accurate small sample inference in beta autoregressive moving average model, which is useful for modeling and forecasting continuous variables t…
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…