Likelihood, Bayesian, and MCMC Methods in Quantitative Genetics

• Κύριοι συγγραφείς: Sorensen, Daniel (Συγγραφέας), Gianola, Daniel (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: New York, NY : Springer New York : Imprint: Springer, 2002.
• Σειρά: Statistics for Biology and Health,
• Θέματα: Life sciences.; Biochemistry.; Plant genetics.; Animal genetics.; Statistics.; Life Sciences.; Biochemistry, general.; Statistics for Life Sciences, Medicine, Health Sciences.; Animal Genetics and Genomics.; Plant Genetics & Genomics.

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...