Likelihood, Bayesian, and MCMC Methods in Quantitative Genetics

Likelihood, Bayesian, and MCMC Methods in Quantitative Genetics by Daniel Sorensen, Daniel Gianola.

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...

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Bibliographic Details
Main Authors: Sorensen, Daniel (Author), Gianola, Daniel (Author)
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: New York, NY : Springer New York : Imprint: Springer, 2002.
Edition:1st ed. 2002.
Series:Statistics for Biology and Health,
Springer eBook Collection.
Subjects:
Biochemistry.
Statistics .
Animal genetics.
Plant genetics.
Electronic resources (E-books)
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