Augmented Beta rectangular regression models: A Bayesian perspective
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Publication:2792773
DOI10.1002/bimj.201400232zbMath1403.62215OpenAlexW1609734753WikidataQ37340669 ScholiaQ37340669MaRDI QIDQ2792773
Publication date: 14 March 2016
Published in: Biometrical Journal (Search for Journal in Brave)
Full work available at URL: http://europepmc.org/articles/pmc5064841
longitudinal dataMarkov chain Monte Carloproportional databeta rectangular distributionaugmented betaGAMLSS family
Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15) Generalized linear models (logistic models) (62J12)
Related Items (6)
Regression modelling with the tilted beta distribution: A Bayesian approach ⋮ A robust mixed‐effects parametric quantile regression model for continuous proportions: Quantifying the constraints to vitality in cushion plants ⋮ Multiplicative errors-in-variables beta regression ⋮ A beta-inflated mean regression model with mixed effects for fractional response variables ⋮ Bayesian inference for zero-and/or-one augmented beta rectangular regression models ⋮ Augmented-limited regression models with an application to the study of the risk perceived using continuous scales
Uses Software
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