Methods of variance component estimation
Estimation of variance components is a method often used in population genetics and applied in animal breeding. Even experienced population geneticists nowadays feel lost if confronted with the huge set of different methods of variance component estimation. Especially because there exists no uniform...
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Format: | Article |
Language: | English |
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Czech Academy of Agricultural Sciences
2006-06-01
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Series: | Czech Journal of Animal Science |
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Online Access: | https://cjas.agriculturejournals.cz/artkey/cjs-200606-0001_methods-of-variance-component-estimation.php |
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author | D. Rasch O. Mašata |
author_facet | D. Rasch O. Mašata |
author_sort | D. Rasch |
collection | DOAJ |
description | Estimation of variance components is a method often used in population genetics and applied in animal breeding. Even experienced population geneticists nowadays feel lost if confronted with the huge set of different methods of variance component estimation. Especially because there exists no uniformly best method, a decision which method should be used is often difficult to take. This paper gives a complete overview of methods existing in the simplest case of a one-way lay-out and demonstrates some of them by a numerical example for which the true situation is known. Of course, the one-way lay-out is of limited practical interest but can best be used to explain animal scientists the basic principles of the methods. These basic principles are principally also valid for higher classifications. Advantages and disadvantages of the methods are discussed. The symbols used are the standard biometric symbols as given in Rasch et al. (1994). We can say that all the methods offered by SPSS can be recommended. |
first_indexed | 2024-04-10T08:28:59Z |
format | Article |
id | doaj.art-ff5eb0deeeaa414eb9137547f442be7c |
institution | Directory Open Access Journal |
issn | 1212-1819 1805-9309 |
language | English |
last_indexed | 2024-04-10T08:28:59Z |
publishDate | 2006-06-01 |
publisher | Czech Academy of Agricultural Sciences |
record_format | Article |
series | Czech Journal of Animal Science |
spelling | doaj.art-ff5eb0deeeaa414eb9137547f442be7c2023-02-23T03:32:23ZengCzech Academy of Agricultural SciencesCzech Journal of Animal Science1212-18191805-93092006-06-0151622723510.17221/3933-CJAScjs-200606-0001Methods of variance component estimationD. Rasch0O. Mašata1Biometric Unit, Research Institute of Animal Production, Prague-Uhříněves, Czech RepublicBiometric Unit, Research Institute of Animal Production, Prague-Uhříněves, Czech RepublicEstimation of variance components is a method often used in population genetics and applied in animal breeding. Even experienced population geneticists nowadays feel lost if confronted with the huge set of different methods of variance component estimation. Especially because there exists no uniformly best method, a decision which method should be used is often difficult to take. This paper gives a complete overview of methods existing in the simplest case of a one-way lay-out and demonstrates some of them by a numerical example for which the true situation is known. Of course, the one-way lay-out is of limited practical interest but can best be used to explain animal scientists the basic principles of the methods. These basic principles are principally also valid for higher classifications. Advantages and disadvantages of the methods are discussed. The symbols used are the standard biometric symbols as given in Rasch et al. (1994). We can say that all the methods offered by SPSS can be recommended.https://cjas.agriculturejournals.cz/artkey/cjs-200606-0001_methods-of-variance-component-estimation.phpone-way anovaanova-methodminquemivquebayesian approachgibbs samplingnumerical example |
spellingShingle | D. Rasch O. Mašata Methods of variance component estimation Czech Journal of Animal Science one-way anova anova-method minque mivque bayesian approach gibbs sampling numerical example |
title | Methods of variance component estimation |
title_full | Methods of variance component estimation |
title_fullStr | Methods of variance component estimation |
title_full_unstemmed | Methods of variance component estimation |
title_short | Methods of variance component estimation |
title_sort | methods of variance component estimation |
topic | one-way anova anova-method minque mivque bayesian approach gibbs sampling numerical example |
url | https://cjas.agriculturejournals.cz/artkey/cjs-200606-0001_methods-of-variance-component-estimation.php |
work_keys_str_mv | AT drasch methodsofvariancecomponentestimation AT omasata methodsofvariancecomponentestimation |