Estimating variances and covariances for bivariate animal models using scaling and transformation [variance estimation, covariance estimation]

The estimation of genetic parameters in bivariate animal models is considered. It is shown that in a variety of models the computation can be reduced by introducing scaled and transformed independent traits. This allows maximization over smaller dimensions of parameter space. In 1 numerical example...

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Bibliographic Details
Published in:Genetics selection evolution (Paris) 1995-02, Vol.27 (1), p.33-42, Article 33
Main Authors: Thompson, R. (Roslin Institute, Edinburgh (Royaume Uni)), Crump, R.E, Juga, J, Visscher, P.M
Format: Article
Language:English
Subjects:
ANALISIS ESTADISTICO
ANALYSE STATISTIQUE
ANIMAL
ANIMALES
ANIMALS
Biological and medical sciences
Classical genetics, quantitative genetics, hybrids
Fundamental and applied biological sciences. Psychology
GENETIC PARAMETERS
Genetics of eukaryotes. Biological and molecular evolution
MODELE
MODELOS
PARAMETRE GENETIQUE
PARAMETROS GENETICOS
STATISTICAL ANALYSIS
Vertebrata
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Summary:The estimation of genetic parameters in bivariate animal models is considered. It is shown that in a variety of models the computation can be reduced by introducing scaled and transformed independent traits. This allows maximization over smaller dimensions of parameter space. In 1 numerical example the procedure reduced the computation by a factor of 8. The advantages of transformed models are outlined.
ISSN:0999-193X
1297-9686
1297-9686
DOI:10.1186/1297-9686-27-1-33