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Multivariate dynamic model for ordinal outcomes

Chaubert Florence, Mortier Frédéric, Saint André Laurent. 2008. Multivariate dynamic model for ordinal outcomes. Journal of Multivariate Analysis, 99 (8) : pp. 1717-1732.

Journal article ; Article de revue à facteur d'impact
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Liste HCERES des revues (en SHS) : oui

Thème(s) HCERES des revues (en SHS) : Economie-gestion; Psychologie-éthologie-ergonomie

Abstract : Individual or stand-level biomass is not easy to measure. The current methods employed, based on cutting down a representative sample of plantations, make it possible to assess the biomasses for various compartments (bark, dead branches, leaves, ¿). However, this felling makes individual longitudinal follow-up impossible. In this context, we propose a method to evaluate individual biomasses by compartments when these are ordinals. Biomass is measured visually and observations are therefore not destructive. The technique is based on a probit model redefined in terms of latent variables. A generalization of the univariate case to the multivariate case is then natural and takes into account of dependency between compartment biomasses. These models are then extended to the longitudinal case by developing a Dynamic Multivariate Ordinal Probit Model. The performance of the MCMC algorithm used for the estimation is illustrated by means of simulations built from known biomass models. The quality of the estimates and the impact of certain parameters, are then discussed. (Résumé d'auteur)

Mots-clés Agrovoc : Biomasse, Modèle mathématique, Modèle dynamique, Mesure, Métrologie

Classification Agris : U10 - Mathematical and statistical methods

Champ stratégique Cirad : Axe 1 (2005-2013) - Intensification écologique

Auteurs et affiliations

  • Chaubert Florence, UM2 (FRA)
  • Mortier Frédéric, CIRAD-BIOS-UPR Génétique forestière (FRA)
  • Saint André Laurent, CIRAD-PERSYST-UPR Ecosystèmes de plantations (FRA)

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Source : Cirad - Agritrop (https://agritrop.cirad.fr/545821/)

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