Mixture model for inferring susceptibility to mastitis in dairy cattle: a procedure for likelihood-based inference

Restricted maximum likelihood to estimate variance components for animal models with several random effects using a derivative-free algorithm... Original

Restricted maximum likelihood estimation of genetic parameters for the first three lactations in the Montbéliarde dairy cattle breed... Original

Estimation of these parameters, the largest eigenvalues and per- taining eigenvectors of the genetic covariance matrix, via restricted maximum likelihood using derivatives of

A Bayesian alternative to maximum marginal likelihood estimation is presented in A Bayesian Approach to a Mixed Model Structure In the Numerical application section,

The Laplacian procedure for finding the mode of the marginal posterior distribution of a single variance component in a Poisson mixed model was found to be

For small data sets and models of analysis fitting both genetic and maternal environmental effects or a direct-maternal covariance,. this frequently induces the need to

Meyer K (1989) Restricted maximum likelihood to estimate variance components for animal models with several random effects using a derivative-free algorithm. User

Computation of all eigenvalues of matrices used in restricted maximum likeli- hood estimation of variance components using sparse matrix techniques... Original