An iterative procedure for analyzing a combination of censored and uncensored traits in mixed models: Estimation of location parameters
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J I R C A S Journal;no. 5: 51-63
Permanent link to cite or share this item: https://hdl.handle.net/10568/28814
A mixed model simultaneous procedure is described to estimate location parameters for the right-censored and uncensored traits in the practical animal breeding data set for herd-life and milk production. Location parameters of fixed effects represented by herd -year effects and random effects represented by sire additive genetic effects were given as the mode of posterior distribution resulting from a combination of a multivariate normal density and a standard normal cumulative distribution function. An iterative method for solving mixed model equations is presented for this kind of data analysis without explicitly setting up the equations.