Negative variance components for non-negative hierarchical data with correlation, over-, and/or underdispersion

DOI10.1080/02664763.2016.1191624OpenAlexW2560244727MaRDI QIDQ5138600

Geert Molenberghs, Geert Verbeke, Izabela R. C. Oliveira, Carlos T. S. Dias, Clarice Garcia Borges Demétrio

Publication date: 4 December 2020

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

Full work available at URL: http://hdl.handle.net/1942/24102

zbMATH Keywords

Poisson distributionoverdispersiongamma distributiongeneralized linear mixed modelunderdispersioncombined model

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (3)

Insurance pricing with hierarchically structured data an illustration with a workers' compensation insurance portfolio ⋮ A Weibull-count approach for handling under- and overdispersed longitudinal/clustered data structures ⋮ Hierarchical models with normal and conjugate random effects : a review

Cites Work

• An extended random-effects approach to modeling repeated, overdispersed count data
• A family of generalized linear models for repeated measures with normal and conjugate random effects
• Semi-parametric marginal models for hierarchical data and their corresponding full models
• Overdispersion: Models and estimation.
• Estimating negative variance components from Gaussian and non-Gaussian data: a mixed models approach
• Models for discrete longitudinal data.
• The Combined Model: A Tool for Simulating Correlated Counts with Overdispersion
• Local influence diagnostics for hierarchical count data models with overdispersion and excess zeros
• The Use of Score Tests for Inference on Variance Components
• Binary Regression Using an Extended Beta-Binomial Distribution, With Discussion of Correlation Induced by Covariate Measurement Errors
• Negative binomial and mixed poisson regression
• The Problem of Negative Estimates of Variance Components
• Tests to Detect Clustering of Infected Individuals within Families
• Approximate Inference in Generalized Linear Mixed Models
• Marginal correlation from an extended random-effects model for repeated and overdispersed counts
• A note on a hierarchical interpretation for negative variance components
• Negative binomial loglinear mixed models
• The interpretation of negative components of variance
• On the Distribution of the Likelihood Ratio
• Linear mixed models for longitudinal data
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