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Alternative implementations of Monte Carlo EM algorithms for likelihood inferences
Two methods of computing Monte Carlo estimators of variance components using restricted maximum likelihood via the expectation-maximisation algorithm are reviewed. A third approach is suggested and the performance of the methods is compared using simulated data.
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| Главные авторы: | , |
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| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
BioMed Central
2001
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2705416/ https://ncbi.nlm.nih.gov/pubmed/11559486 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1297-9686-33-4-443 |
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