Restricted Maximum Likelihood Estimation of Variance Components for Univariate Animal Models Using Sparse Matrix Techniques and Average Information
نویسندگان
چکیده
منابع مشابه
Derivative-free restricted maximum likelihood estimation in animal models with a sparse matrix solver.
Estimation of (co)variance components by derivative-free REML requires repeated evaluation of the log-likelihood function of the data. Gaussian elimination of the augmented mixed model coefficient matrix is often used to evaluate the likelihood function, but it can be costly for animal models with large coefficient matrices. This study investigated the use of a direct sparse matrix solver to ob...
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ژورنال
عنوان ژورنال: Journal of Dairy Science
سال: 1995
ISSN: 0022-0302
DOI: 10.3168/jds.s0022-0302(95)76654-1