+ Site Statistics
+ Search Articles
+ PDF Full Text Service
How our service works
Request PDF Full Text
+ Follow Us
Follow on Facebook
Follow on Twitter
Follow on LinkedIn
+ Subscribe to Site Feeds
Most Shared
PDF Full Text
+ Translate
+ Recently Requested

A derivative free approach for estimating variance components in animal models by restricted maximum likelihood



A derivative free approach for estimating variance components in animal models by restricted maximum likelihood



Journal of Animal Science 64(5): 1362-1370



A derivative-free algorithm for use in restricted maximum likelihood variance component estimation for single traits and single records in animal or reduced models is presented. The algorithm does not require matrix inversion; instead, it uses a one-dimensional search involving the variant part of the log likelihood to find the maximum of this function. An approach to account for selection in base populations is also presented. Sample results are given.

Please choose payment method:






(PDF emailed within 0-6 h: $19.90)

Accession: 004570099

Download citation: RISBibTeXText

DOI: 10.2527/jas1987.6451362x


Related references

Restricted maximum likelihood to estimate variance components for animal models with several random effects using a derivative free algorithm. Genetics Selection Evolution 21(3): 317-340, 1989

Estimating variance components in a class of mixed models by restricted maximum likelihood. Journal of Dairy Science 69(4): 1156-1165, 1986

Estimating variance components for test day milk records by restricted maximum likelihood with a random regression animal model. Livestock Production Science 61(1): 53-63, 1999

Sequential transformation for multiple traits for estimation of (co)variance components with a derivative-free algorithm for restricted maximum likelihood. Journal of Animal Science 71(4): 836-844, 1993

Estimation of components of genetic variance and heritability for flowering time and yield in gerbera using Derivative-Free Restricted Maximum Likelihood (DFRML). Tag. Theoretical and Applied Genetics. Theoretische und Angewandte Genetik 86(2-3): 234-236, 1993

A comparison of biases and sampling variances of restricted maximum likelihood estimators of variance components under sire and animal models. Journal of Dairy Science 77(Suppl. 1): 57, 1994

Evaluation of derivative-free marginal maximum likelihood estimation of variance components in threshold mixed models. Proceedings, 5th World Congress, University of Guelph, Guelph, Ontario, Canada, 7-12 August, 1994 Volume 22 Computing strategies and software: 15-18, 1994

Restricted Maximum Likelihood Estimation of Variance Components for Univariate Animal Models Using Sparse Matrix Techniques and Average Information. Journal of Dairy Science 78(2): 449-456, 1995

Derivative-free restricted maximum likelihood estimation in animal models with a sparse matrix solver. Journal of Dairy Science 74(12): 4337-4343, 1991

Univariate and multivariate animal models for evaluation of Sahiwal sires using derivative-free restricted maximum likelihood method. Indian Journal of Animal Sciences 82(5): 501-504, 2012

A derivative-free algorithm for estimating variance components in animal models by REML. Proceedings of the Sixth Conference, Australian Association of Animal Breeding and Genetics, University of Western Australia, Perth, WA, Australia, 9-11 February 1987: 363-365, 1987

Effect of relationships on estimation of variance components with an animal model and restricted maximum likelihood. Journal of Dairy Science 71(11): 3047-3052, 1988

Restricted Maximum Likelihood to estimate variance components for mixed models with two random factors. Genetique Selection Evolution 19(1): 49-68, 1987

A type of restricted maximum likelihood estimator of variance components in generalised linear mixed models. Biometrika 89(2): 401-409, 2002

Restricted maximum likelihood estimation of variance components in animal model using sparse matrix inversion and a supercomputer. Journal of Dairy Science 73(1): 163-172, 1990