Applied probability /
This textbook on applied probability is intended for graduate students in applied mathematics, biostatistics, computational biology, computer science, physics, and statistics. It presupposes knowledge of multivariate calculus, linear algebra, ordinary differential equations, and elementary probabili...
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| Format: | Book |
| Language: | English |
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New York :
Springer,
©2003.
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| Series: | Springer texts in statistics.
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| Subjects: |
Table of Contents:
- Cover
- Preface
- Table of Contents
- Preface to the Second Edition
- Preface to the First Edition
- 1. Basic Principles of Population Genetics
- 2. Counting Methods and the EM Algorithm
- 3. Newton's Method and Scoring
- 4. Hypothesis Testing and Categorical Data
- 5. Genetic Identity Coefficients
- 6. Applications of Identity Coefficients
- 7. Computation of Mendelian Likelihoods
- 8. The Polygenic Model
- 9. Descent Graph Methods
- 10. Molecular Phylogeny
- 11. Radiation Hybrid Mapping
- 12. Models of Recombination
- 13. Sequence Analysis
- 14. Poisson Approximation
- 15. Diffusion Processes
- Appendix A: Molecular Genetics in Brief
- Appendix B: The Normal Distribution.