Marginal Projected Multivariate Linear Models for Clustered Angular Data
From MaRDI portal
Publication:2804156
DOI10.1111/anzs.12114zbMath1336.62181OpenAlexW1547499077MaRDI QIDQ2804156
Publication date: 28 April 2016
Published in: Australian & New Zealand Journal of Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1111/anzs.12114
EM algorithmlongitudinal datarepeated measuresdirectional datacircular dataES algorithmgeneralised estimating equations
Classification and discrimination; cluster analysis (statistical aspects) (62H30) Linear regression; mixed models (62J05) Applications of statistics to biology and medical sciences; meta analysis (62P10)
Related Items (2)
On maximum likelihood estimation of the general projected normal distribution ⋮ The circular quantile residual
Uses Software
Cites Work
- Unnamed Item
- A Bayesian model for longitudinal circular data based on the projected normal distribution
- On Repeated Measures Analysis with Misspecified Covariance Structure
- Topics in Circular Statistics
- On the application of extended quasi-likelihood to the clustered data case
- Akaike's Information Criterion in Generalized Estimating Equations
- Statistical Analysis of Circular Data
- Marginal models for zero inflated clustered data
- Some Angular-Linear Distributions and Related Regression Models
- Mixtures of marginal models
- Analysis of Circular Longitudinal Data Based on Generalized Estimating Equations
- Projected Multivariate Linear Models for Directional Data
- Extended Generalized Estimating Equations for Clustered Data
- Variable Selection for Marginal Longitudinal Generalized Linear Models
This page was built for publication: Marginal Projected Multivariate Linear Models for Clustered Angular Data