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A Thurstonian Model for Quantitative Genetic Analysis of Ranks: A Bayesian Approach
A fully Bayesian method for quantitative genetic analysis of data consisting of ranks of, e.g., genotypes, scored at a series of events or experiments is presented. The model postulates a latent structure, with an underlying variable realized for each genotype or individual involved in the event. Th...
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| Hlavní autoři: | , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
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Copyright © 2006 by the Genetics Society of America
2006
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| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC1667069/ https://ncbi.nlm.nih.gov/pubmed/16980397 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1534/genetics.106.060673 |
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