Beta Regression Models: Joint Mean and Variance Modeling
In this article, joint mean and variance beta regression models are proposed. The proposed models are fitted by applying the Bayesian method and assuming normal prior distribution for the regression parameters. An analysis of synthetic and real data is included, assuming the proposed model, together with a comparison of the result obtained assuming joint modeling of the mean and precision parameters.
KeywordsBeta regression Bayesian method Mean and variance modeling
AMS Subject Classification62J12
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