Empirical performance of estimation methods in beta mixed models with application to ecological data

zbMath1451.62079MaRDI QIDQ2217075

Romain Glélé Kakaï, Saliou Diouf, Freedath Djibril Moussa, Bruno Enagnon Lokonon

Publication date: 18 December 2020

Published in: Afrika Statistika (Search for Journal in Brave)

Full work available at URL: https://projecteuclid.org/euclid.as/1605236413

zbMATH Keywords

performancetransformationsbeta distributionapplicationhierarchical modellingcontinuous proportion

Mathematics Subject Classification ID

Linear regression; mixed models (62J05) Applications of statistics to environmental and related topics (62P12) Bayesian inference (62F15) Generalized linear models (logistic models) (62J12)

Uses Software

• betareg

Cites Work

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• Beta Regression for Modelling Rates and Proportions
• Mixed beta regression: a Bayesian perspective
• Viscoelastic fracture of biological composites
• Misspecifying the shape of a random effects distribution: why getting it wrong may not matter
• Examples in which misspecification of a random effects distribution reduces efficiency, and possible remedies
• Sufficient sample size and power in multilevel ordinal logistic regression models
• Performance of likelihood-based estimation methods for multilevel binary regression models
• Likelihood analysis for a class of beta mixed models
• Diagnosing misspecification of the random‐effects distribution in mixed models
• Regression analysis of variates observed on (0, 1): percentages, proportions and fractions

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