Likelihood, Bayesian and MCMC Methods in Quantitative Genetics (Statistics for Biology and Health)

Likelihood, Bayesian and MCMC Methods in Quantitative Genetics (Statistics for Biology and Health)

by Daniel Sorensen (Author), Daniel Gianola (Author)

Synopsis

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.

$407.30

Quantity

20+ in stock

More Information

Format: Hardcover
Pages: 760
Edition: 1st ed. 2007. Corr. 3rd. printing
Publisher: Springer
Published: 12 Aug 2002

ISBN 10: 0387954406
ISBN 13: 9780387954400