A beta inflated mean regression model for fractional response variables

DOI10.1080/02664763.2015.1120711OpenAlexW2337503178MaRDI QIDQ5138124

Luis Valdivieso, Cristian L. Bayes

Publication date: 3 December 2020

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02664763.2015.1120711

zbMATH Keywords

maximum likelihood estimationbeta regressionfractional data

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (7)

An endemic–epidemic beta model for time series of infectious disease proportions ⋮ A parametric quantile regression approach for modelling zero‐or‐one inflated double bounded data ⋮ Inflated beta autoregressive moving average models ⋮ A censored time series analysis for responses on the unit interval: an application to acid rain modeling ⋮ A beta-inflated mean regression model with mixed effects for fractional response variables ⋮ Bayesian modeling and prior sensitivity analysis for zero-one augmented beta regression models with an application to psychometric data ⋮ Augmented-limited regression models with an application to the study of the risk perceived using continuous scales

Cites Work

• Beta Regression for Modelling Rates and Proportions
• Estimation of Relationships for Limited Dependent Variables
• A general class of zero-or-one inflated beta regression models
• Inflated beta distributions
• Pseudo Maximum Likelihood Methods: Applications to Poisson Models
• Regression analysis of variates observed on (0, 1): percentages, proportions and fractions
• Moment-based estimation of nonlinear regression models with boundary outcomes and endogeneity, with applications to nonnegative and fractional responses

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