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Restricted Maximum Likelihood to estimate variance components for mixed models with two random factors



Restricted Maximum Likelihood to estimate variance components for mixed models with two random factors



Genetique Selection Evolution 19(1): 49-68



A Restricted Maximum Likelihood procedure is described to estimate variance components for a univariate mixed model with two random factors. An EM-type algorithm is presented with a reparameterisation to speed up the rate of convergence. Computing strategies are outlined for models common to the analysis of animal breeding data, allowing for both a nested and a cross-classified design of the 2 random factors. Two special cases are considered: firstly, the total number of levels of fixed effects is small compared to th number of levels of both random factors ; secondly, one fixed effect with a large number of levels is to be fitted in addition to other fixed effects wtih few levels. A small numerical example is give to illustrate details.

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Accession: 006330827

Download citation: RISBibTeXText

PMID: 22879271

DOI: 10.1186/1297-9686-19-1-49


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