Likelihood, Bayesian, and MCMC Methods in Quantitative Genetics, Daniel Sorensen,Daniel Gianola (9781441929976) — Readings Books

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Likelihood, Bayesian, and MCMC Methods in Quantitative Genetics
Paperback

Likelihood, Bayesian, and MCMC Methods in Quantitative Genetics

$931.99
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This title is printed to order. This book may have been self-published. If so, we cannot guarantee the quality of the content. In the main most books will have gone through the editing process however some may not. We therefore suggest that you be aware of this before ordering this book. If in doubt check either the author or publisher’s details as we are unable to accept any returns unless they are faulty. Please contact us if you have any questions.

This book, suitable for numerate biologists and for applied statisticians, provides the foundations of likelihood, Bayesian and MCMC methods in the context of genetic analysis of quantitative traits. Although a number of excellent texts in these areas have become available in recent years, the basic ideas and tools are typically described in a technically demanding style and contain much more detail than necessary. Here, an effort has been made to relate biological to statistical parameters throughout, and the book includes extensive examples that illustrate the developing argument.

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Format
Paperback
Publisher
Springer-Verlag New York Inc.
Country
United States
Date
1 December 2010
Pages
740
ISBN
9781441929976

This title is printed to order. This book may have been self-published. If so, we cannot guarantee the quality of the content. In the main most books will have gone through the editing process however some may not. We therefore suggest that you be aware of this before ordering this book. If in doubt check either the author or publisher’s details as we are unable to accept any returns unless they are faulty. Please contact us if you have any questions.

This book, suitable for numerate biologists and for applied statisticians, provides the foundations of likelihood, Bayesian and MCMC methods in the context of genetic analysis of quantitative traits. Although a number of excellent texts in these areas have become available in recent years, the basic ideas and tools are typically described in a technically demanding style and contain much more detail than necessary. Here, an effort has been made to relate biological to statistical parameters throughout, and the book includes extensive examples that illustrate the developing argument.

Read More
Format
Paperback
Publisher
Springer-Verlag New York Inc.
Country
United States
Date
1 December 2010
Pages
740
ISBN
9781441929976