Flexible quasi-beta regression models for continuous bounded data

DOI10.1177/1471082X18790847OpenAlexW2889817683WikidataQ129300586 ScholiaQ129300586MaRDI QIDQ5142261

Ricardo Rasmussen Petterle, J. P. Hinde, Wagner Hugo Bonat, Clarice Garcia Borges Demétrio

Publication date: 30 December 2020

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

Full work available at URL: https://doi.org/10.1177/1471082x18790847

zbMATH Keywords

regression modelsbeta distributionestimating functionssimplex distributionbounded data

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (7)

Geometric Tweedie regression models for continuous and semicontinuous data with variation phenomenon ⋮ Unit gamma mixed regression models for continuous bounded data ⋮ Quasi-beta longitudinal regression model applied to water quality index data ⋮ Autoregressive conditional proportion: A multiplicative‐error model for (0,1)‐valued time series ⋮ Unit gamma regression models for correlated bounded data ⋮ Bessel regression model: Robustness to analyze bounded data ⋮ Pragmatic model transformations for analyzing bounded and positive responses

Uses Software

• R
• betareg
• mcglm
• simplexreg

Cites Work

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• Beta Regression for Modelling Rates and Proportions
• Influence diagnostics in a general class of beta regression models
• Mixed beta regression: a Bayesian perspective
• Beta autoregressive moving average models
• Dynamic Bayesian beta models
• Improved estimators for a general class of beta regression models
• Influence diagnostics in beta regression
• Some aspects of the theory of estimating equations
• The Kumaraswamy distribution: median-dispersion re-parameterizations for regression modeling and simulation-based estimation
• A GAMMA REGRESSION FOR BOUNDED CONTINUOUS VARIABLES
• New class of Johnson SB distributions and its associated regression model for rates and proportions
• On beta regression residuals
• Simplex Mixed‐Effects Models for Longitudinal Proportional Data
• An Autoregressive Process for Beta Random Variables
• Marginal Models for Longitudinal Continuous Proportional Data
• Parameter Orthogonality and Bias Adjustment for Estimating Functions
• Flexible Tweedie regression models for continuous data
• Modelling Heterogeneous Dispersion in Marginal Models for Longitudinal Proportional Data
• Likelihood analysis for a class of beta mixed models
• Regression analysis of variates observed on (0, 1): percentages, proportions and fractions

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