Diagnostic tools in beta regression with varying dispersion

57 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

A quantile parametric mixed regression model for bounded response variables (2017, methodology): “The beta regression model is sufficiently documented in several publications such as [8], [9], [12], and [6] and in several applications like in [22] and [37].”
Reparameterized Birnbaum-Saunders regression models with varying precision (2016, methodology): “[7] considered beta regression models for which the precision parameter is not constant across data and described it as a function of explanatory variables (covariates).”
A New Robust Regression Model for Proportions (2012, methodology): “…in future work, for instance in using the Kullback-Liebler divergence as a diagnostic measure for each observation as in Peng and Dey (1995) and Cho et al. (2009), and local influence and residual analysis as proposed by Ferrari et al. (2011) could be formulated from a Bayesian perspective.”