Basic Principles of Population Genetics * Counting Methods and the EM Algorithm * Newton's Method and Scoring * Hypothesis Testing and Categorical Data * Genetic Identity Coefficients * Applications of Identity Coefficients * Computation of Mendelian Likelihoods * The Polygenic Model * Descent Graph Models * Molecular Phylogeny * Radiation Hybrid Mapping * Models of Recombination * Sequence Analysis * Poisson Approximation * Diffusion Processes

Written to equip students in the mathematical siences to understand and model the epidemiological and experimental data encountered in genetics research.
This second edition expands the original edition by over 100 pages and includes new material. Sprinkled throughout the chapters are many new problems.