Join Books.org — it's free

Probability Theory, Statistics, Genetics - General and Miscellaneous, Computer Science & Combinatorics, Mathematical Programming & Operations Research
Likelihood, Bayesian and Mcmc Methods in Quantitative Genetics by Daniel Sorensen β€” book cover

Likelihood, Bayesian and Mcmc Methods in Quantitative Genetics

by Daniel Sorensen
Available on Bookshop Write a review

Books.org participates in affiliate programs including Bookshop.org and the Amazon Services LLC Associates Program. We may earn a commission from qualifying purchases made through links on this page, at no additional cost to you.

Log in to track your reading progress.

Overview

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.

Reviews

There are no reviews yet. Log in to write one.

Book Details

Published
October 1, 2002
Publisher
Springer-Verlag New York, LLC
Pages
758
Format
Paperback
ISBN
9781441929976

Similar books