A class of multivariate discrete distributions based on an approximate density in GLMM
DOI10.32917/HMJ/1150998277zbMATH Open1082.62050OpenAlexW1567792832MaRDI QIDQ816243
Publication date: 9 March 2006
Published in: Hiroshima Mathematical Journal (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.32917/hmj/1150998277
overdispersionrandom effectssimulationsconditional independencecorrelation structuremultivariate discrete distributiondensity approximation
Multivariate distribution of statistics (62H10) Asymptotic distribution theory in statistics (62E20) Hypothesis testing in multivariate analysis (62H15) Characterization and structure theory for multivariate probability distributions; copulas (62H05) Generalized linear models (logistic models) (62J12)
Related Items (1)
Recommendations
- Unnamed Item π π
- Unnamed Item π π
- Unnamed Item π π
- Approximate predictive densities and their applications in generalized linear models π π
- Discrete approximation of multivariate densities with application to Bayesian estimation π π
- Estimation of the mixtures of GLMs with covariate-dependent mixing proportions π π
- A general class of models for discrete multivariate data π π
- An approximate maximum likelihood procedure for parameter estimation in multivariate discrete data regression models π π
This page was built for publication: A class of multivariate discrete distributions based on an approximate density in GLMM