TAILIEUCHUNG - Báo cáo sinh học: " Restricted maximum likelihood to estimate variance components for animal models with several random effects using a derivative-free algorithm"

Tuyển tập các báo cáo nghiên cứu về sinh học được đăng trên tạp chí sinh học Journal of Biology đề tài: Restricted maximum likelihood to estimate variance components for animal models with several random effects using a derivative-free algorithm | Genet. Sei. Evol. 1989 21 317-340 317 Elsevier INRA Original article . Restricted maximum likelihood to estimate variance components for animal models with several random effects using a derivative-free algorithm K. Meyer Edinburgh University Institute of Animal Genetics West Mains Road Edinburgh EH9 3JN Scotland UK received 21 March 1988 accepted 11 January 1989 Summary - A method is described for the simultaneous estimation of variance components due to several genetic and environmental effects from unbalanced data by restricted maximum likelihood REML . Estimates are obtained by evaluating the likelihood explicitly and using standard derivative-free optimization procedures to locate its maximum. The model of analysis considered is the so-called Animal Model which includes the additive genetic merit of animals as a random effect and incorporates all information on relationships between animals. Furthermore random effects in addition to animals additive genetic effects such as maternal genetic dominance or permanent environmental effects are taken into account. Emphasis is placed entirely upon univariate analyses. Simulation is employed to investigate the efficacy of three different maximization techniques and the scope for approximation of sampling errors. Computations are illustrated with a numerical example. variance components restricted maximum likelihood animal model additional random effects - derivative - free approach Resume - Utilisation du maximum de vraisemblance restreint et d un algorithme sans derivation pour estimer les composantes de variance d un caractère selon un modèle animal avec plusieurs effets aléatoires. On décrit une méthode pour estimer simultanément les composantes de la variance d un seul caractere dues au milieu OU plusieurs effets génétiqũes. La méthode admet des données non équilibrées et se fonde sur le maximum de vraisemblance restraint REML . Les composantes estimées sont obtenues par revaluation explicite de la fonction de .

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