Detecting Model Misspecification in Inflated Beta Regressions

DOI10.1080/03610918.2012.712183zbMath1291.62126OpenAlexW2115856165MaRDI QIDQ5415875

Tarciana Liberal Pereira, Francisco Cribari-Neto

Publication date: 19 May 2014

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610918.2012.712183

zbMATH Keywords

nonlinearitylink functionbeta distributionbeta regressionmisspecification testspatial correlationinflated beta regression

Mathematics Subject Classification ID

General nonlinear regression (62J02) Diagnostics, and linear inference and regression (62J20)

Related Items (13)

Kumaraswamy regression model with Aranda-Ordaz link function ⋮ Bootstrap-based testing inference in beta regressions ⋮ The Burr XII quantile regression for salary-performance models with applications in the sports economy ⋮ A misspecification test for beta prime regression models ⋮ Model selection criteria in beta regression with varying dispersion ⋮ Nonnested hypothesis testing in the class of varying dispersion beta regressions ⋮ Improved testing inferences for beta regressions with parametric mean link function ⋮ Variable dispersion beta regressions with parametric link functions ⋮ Robustness against outliers: A new variance inflated regression model for proportions ⋮ A new quantile regression for the COVID-19 mortality rates in the United States ⋮ Modified likelihood ratio statistics for inflated beta regressions ⋮ Influence measures in beta regression models through distance between distributions ⋮ Bayesian modeling and prior sensitivity analysis for zero-one augmented beta regression models with an application to psychometric data

Cites Work

• Beta Regression for Modelling Rates and Proportions
• A general class of zero-or-one inflated beta regression models
• Inflated beta distributions
• The robustness of the RESET test to non-normal error terms
• The effect of fat-tailed error terms on the properties of systemwise RESET test
• Specification Tests in Econometrics
• Generalized Additive Models for Location, Scale and Shape

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