Unit-Lindley mixed-effect model for proportion data

DOI10.1080/02664763.2020.1823946OpenAlexW3088490441MaRDI QIDQ5861180

Hatice Tul Kubra Akdur

Publication date: 4 March 2022

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

Full work available at URL: https://doi.org/10.1080/02664763.2020.1823946

zbMATH Keywords

mixed-effect modelslikelihood approximationproportion dataunit-Lindley distributionhouseholds with poor quality

Mathematics Subject Classification ID

Applications of statistics (62Pxx)

Related Items (4)

Analysis of correlated unit-Lindley data based on estimating equations ⋮ Unit gamma regression models for correlated bounded data ⋮ Addressing overdispersion and zero-inflation for clustered count data via new multilevel heterogenous hurdle models ⋮ Editorial to the special issue: Recent statistical methods for data analysis, applied economics, business & finance

Uses Software

• GLMMadaptive

Cites Work

• Unnamed Item
• Beta Regression for Modelling Rates and Proportions
• A note on marginalization of regression parameters from mixed models of binary outcomes
• Simplex Mixed‐Effects Models for Longitudinal Proportional Data
• Approximate Inference in Generalized Linear Mixed Models
• Generalized linear mixed models a pseudo-likelihood approach
• On the one parameter unit-Lindley distribution and its associated regression model for proportion data
• Likelihood analysis for a class of beta mixed models

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