Restricted Maximum Likelihood Estimation of Variance Components for Univariate Animal Models Using Sparse Matrix Techniques and Average Information
- 1 February 1995
- journal article
- Published by American Dairy Science Association in Journal of Dairy Science
- Vol. 78 (2) , 449-456
- https://doi.org/10.3168/jds.s0022-0302(95)76654-1
Abstract
No abstract availableThis publication has 13 references indexed in Scilit:
- Estimates of dispersion parameters and of genetic and environmental trends for weaning weight in Angus cattle using a maternal animal model with genetic groupingLivestock Production Science, 1993
- Some new algorithms for computing restricted maximum likelihood estimates of variance componentsJournal of Statistical Computation and Simulation, 1991
- Restricted maximum likelihood to estimate variance components for animal models with several random effects using a derivative-free algorithmGenetics Selection Evolution, 1989
- Newton-Raphson and EM Algorithms for Linear Mixed-Effects Models for Repeated-Measures DataJournal of the American Statistical Association, 1988
- Maximum Likelihood Computations with Repeated Measures: Application of the EM AlgorithmJournal of the American Statistical Association, 1987
- Maximum Likelihood Computations with Repeated Measures: Application of the EM AlgorithmJournal of the American Statistical Association, 1987
- Maximum Likelihood Approaches to Variance Component Estimation and to Related ProblemsJournal of the American Statistical Association, 1977
- Maximum Likelihood Approaches to Variance Component Estimation and to Related ProblemsJournal of the American Statistical Association, 1977
- A Simplex Method for Function MinimizationThe Computer Journal, 1965
- An Algorithm for Least-Squares Estimation of Nonlinear ParametersJournal of the Society for Industrial and Applied Mathematics, 1963