Likelihood, Bayesian, and MCMC Methods in Quantitative Genetics
Over the last ten years the introduction of computer intensive statistical methods has opened new horizons concerning the probability models that can be fitted to genetic data, the scale of the problems that can be tackled and the nature of the questions that can be posed. In particular, the applica...
| Main Authors: | , |
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| Corporate Author: | |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
New York, NY :
Springer New York : Imprint: Springer,
2002.
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| Series: | Statistics for Biology and Health,
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| Subjects: | |
| Online Access: | Full Text via HEAL-Link |
