A quasi-score approach to the analysis of ordered catogorical data via a mixed heteroskedastic threshold modelReportar como inadecuado




A quasi-score approach to the analysis of ordered catogorical data via a mixed heteroskedastic threshold model - Descarga este documento en PDF. Documentación en PDF para descargar gratis. Disponible también para leer online.

1 SGQA - Station de Génétique Quantitative et Appliquée

Abstract : 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.

Mots-clés : GENERALIZED LINEAR MIXED MODELS QUASI-SCORE HETEROGENEITY OF VARIANCES THRESHOLD RESPONSE MODEL MODELES LINEAIRES GENERALISES MIXTES VARIANCES HETEROGENES MODELE A SEUILS OVIN GENETIQUE DES POPULATIONS GENETIQUE QUANTITATIVE MODELE MATHEMATIQUE





Autor: F. Jaffrezic - C. Robert Granie - J.L. Foulley -

Fuente: https://hal.archives-ouvertes.fr/



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