| Автор | Juga, Jarmo |
| Автор | Thompson, Robin |
| Дата выпуска | 1992 |
| dc.description | AbstractThe use of derivative-free methods to give maximum likelihood estimates of bivariate (co)variance parameters is illustrated. An algorithm is given to estimate the four variance and two covariance parameters of two random effects associated with each trait when both traits are measured on all animals and the same fixed and random model hold for both traits. By reparameterising in terms of canonical heritabilities and a transformation matrix, a six-dimensional problem is reduced to a two-dimensional problem. It is shown how to derive the estimate of the transformation matrix given the values for the canonical heritabilities. Maximization is then only over the two dimensions of canonical heritabilities and the transformation matrix. The use and the properties of the method are illustrated with examples from simulated selection experiment data. |
| Формат | application.pdf |
| Издатель | Taylor & Francis Group |
| Копирайт | Copyright Taylor and Francis Group, LLC |
| Тема | animal model |
| Тема | bivariate model |
| Тема | canonical transformation |
| Тема | REML |
| Название | A Derivative-Free Algorithm to Estimate Bivariate (Co)variance Components using Canonical Transformations and Estimated Rotations |
| Тип | research-article |
| DOI | 10.1080/09064709209410128 |
| Electronic ISSN | 1651-1972 |
| Print ISSN | 0906-4702 |
| Журнал | Acta Agriculturae Scandinavica, Section A – Animal Science |
| Том | 42 |
| Первая страница | 191 |
| Последняя страница | 197 |
| Аффилиация | Juga, Jarmo; The Finnish Animal Breeding Association; AFRC Institute of Animal Physiology and Genetic Research, Roslin |
| Аффилиация | Thompson, Robin; The Finnish Animal Breeding Association; AFRC Institute of Animal Physiology and Genetic Research, Roslin |
| Выпуск | 4 |
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