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

by Daniel Sorensen and Daniel Gianola

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Book cover for Likelihood, Bayesian and Mcmc Methods in Quantitative Genetics

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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.

  • ISBN10 0387227644
  • ISBN13 9780387227641
  • Publish Date December 2002 (first published 1 January 2002)
  • Publish Status Active
  • Publish Country US
  • Imprint Springer-Verlag New York Inc.
  • Format eBook
  • Pages 758
  • Language English