A quasi-score approach to the analysis of ordered catogorical data via a mixed heteroskedastic threshold model
Résumé
This article presents an extension of the methodology developed by Gilmour et al. [19], for ordered categorical data, taking into account the heterogeneity of residual variances of latent variables. Heterogeneity of residual variances is described via a structural linear model on log-variances. This method involves two main steps: i) a ?marginalization? with respect to the random effects leading to quasi-score estimators; ii) an approximation of the variance-covariance matrix of the observations which leads to an analogue of the Henderson mixed model equations for continuous Gaussian data. This methodology is illustrated by a numerical example of footshape in sheep.
Domaines
Génétique des populations [q-bio.PE]Origine | Fichiers produits par l'(les) auteur(s) |
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