Likelyhood, Baysian, and MCMC methods in quantitative genetics /: Daniel Sorensen and Daniel Gianola
Material type:
TextSeries: Statistics for biology and healthPublication details: 2002 Springer 2002Description: 740 pISBN: - 9781441929976
- 575.60727 SOR-D
| Item type | Current library | Collection | Shelving location | Call number | Status | Date due | Barcode | Item holds | |
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Books
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BITS Pilani Hyderabad | 570 | General Stack (For lending) | 575.60727 SOR-D (Browse shelf(Opens below)) | Checked out | 07/04/2025 | 41837 |
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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