Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/4163
Title: A note on bias in reduced rank estimates of covariance matrices
Contributor(s): Meyer, Karin  (author); Kirkpatrick, Mark (author)
Publication Date: 2007
Handle Link: https://hdl.handle.net/1959.11/4163
Abstract: Fitting only the leading principal components allows genetic covariance matrices to be modelled parsimoniously, yielding reduced rank estimates. If principal components with non-zero variances are omitted from the model, genetic variation is moved into the covariance matrices for residuals or other random effects. The resulting bias in estimates of genetic eigen-values and -vectors is examined.
Publication Type: Conference Publication
Conference Details: AAABG 2007: 17th Conference of the Association for the Advancement of Animal Breeding and Genetics, Armidale, Australia, 23rd - 26th September, 2007
Source of Publication: Proceedings of the Association for the Advancement of Animal Breeding and Genetics, v.17, p. 154-157
Publisher: Association for the Advancement of Animal Breeding and Genetics (AAABG)
Place of Publication: Armidale, Australia
ISSN: 1328-3227
Fields of Research (FoR) 2008: 060412 Quantitative Genetics (incl Disease and Trait Mapping Genetics)
Socio-Economic Objective (SEO) 2008: 830301 Beef Cattle
Peer Reviewed: Yes
HERDC Category Description: E1 Refereed Scholarly Conference Publication
Publisher/associated links: http://trove.nla.gov.au/work/35062558?selectedversion=NBD42373479
http://www.aaabg.org/livestocklibrary/2007/meyer154.pdf
Appears in Collections:Animal Genetics and Breeding Unit (AGBU)
Conference Publication

Files in This Item:
2 files
File Description SizeFormat 
Show full item record

Page view(s)

1,136
checked on Apr 21, 2024
Google Media

Google ScholarTM

Check


Items in Research UNE are protected by copyright, with all rights reserved, unless otherwise indicated.