Robust estimation in beta regression via maximum \(\mathrm{L}_q\)-likelihood

DOI10.1007/s00362-022-01320-0arXiv2010.11368OpenAlexW3094501386MaRDI QIDQ6099126

Terezinha K. A. Ribeiro, Silvia L. P. Ferrari

Publication date: 19 June 2023

Published in: Statistical Papers (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2010.11368

zbMATH Keywords

outliersrobustnessresidualsbeta regressionbounded influence function\(\mathrm{L}_q\)-likelihood

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (1)

Robust estimation in functional comparative calibration models via maximum \(\mathrm{L}q\)-likelihood

Cites Work

• Unnamed Item
• Unnamed Item
• Robustness against outliers: A new variance inflated regression model for proportions
• Beta Regression for Modelling Rates and Proportions
• A general class of zero-or-one inflated beta regression models
• Robust heart rate variability analysis by generalized entropy minimization
• A new regression model for bounded responses
• Possible generalization of Boltzmann-Gibbs statistics.
• The Log-Lindley distribution as an alternative to the beta regression model with applications in insurance
• Maximum L\(q\)-likelihood estimation
• A new robust regression model for proportions
• On robust estimation via pseudo-additive information
• On beta regression residuals
• Robust and efficient estimation by minimising a density power divergence
• Robust Bounded-Influence Tests in General Parametric Models
• On quantile residuals in beta regression
• On nonlinear beta regression residuals
• Robust Estimation of a Location Parameter
• Robust Statistics

This page was built for publication: Robust estimation in beta regression via maximum \(\mathrm{L}_q\)-likelihood