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Mathematical Evolutionary Theory
Marcus Feldman
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Naturwissenschaften, Medizin, Informatik, Technik / Naturwissenschaften allgemein
Beschreibung
An international group of distinguished scientists presents an up-to-date survey of quantitative problems at the forefront of modern evolutionary theory. Their articles illustrate results from the latest research in population and behavioral genetics, molecular evolution, and ecology. Each author gives careful attention to the exposition of the models, the logic of their analysis, and the legitimacy of qualitative biological inferences. The topics covered include stochastic models of finite populations and the sorts of diffusion approximations that are valid for their study, models of migration, kin selection, geneculture coevolution, sexual selection, life-history evolution, the statistics of linkage disequilibrium, and the molecular evolution of repeated DNA sequences and the HLA system in humans.
The fourteen contributions are presented in two sections: Part I, Stochastic and Deterministic Genetic Theory, and Part II, Behavior, Ecology, and Evolutionary Genetics. Marcus W. Feldman provides an introduction to each part. The contributors are J. G. Bodmer, W. F. Bodmer, L. L. Cavalli Sforza, F. B. Christiansen, C. Cockerham, W. J. Ewens, M. W. Feldman, J. H. Gillespie, R. R. Hudson, N. L. Kaplan, S. Lessard, U. Liberman, M.E.N. Majerus, P. O'Donald, J. Roughgarden, S. Tavar, M. K. Uyenoyama, G. A. Watterson, and B. Weir.
Originally published in 1989.
The Princeton Legacy Library uses the latest print-on-demand technology to again make available previously out-of-print books from the distinguished backlist of Princeton University Press. These editions preserve the original texts of these important books while presenting them in durable paperback and hardcover editions. The goal of the Princeton Legacy Library is to vastly increase access to the rich scholarly heritage found in the thousands of books published by Princeton University Press since its founding in 1905.
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Result, Geometric distribution, Asymptotic theory (statistics), Statistical population, Inbreeding, Female, Population genetics, Gene, Kin selection, Linkage disequilibrium, Joint probability distribution, Markov chain, Chi-squared test, Dummy variable (statistics), Phenotype, Extreme value theory, Variance, Genetic variance, Probability distribution, Genotype, Genetic drift, Reproductive value (population genetics), Chi-squared distribution, Eugenics, Wahlund effect, Mutation rate, Mating, Evolution of dominance, Genetic linkage, Mendelian inheritance, Epistasis, Heritability, Gene Frequency, Genetic variability, Fitness (biology), Gamete, Normal distribution, Rate of convergence, Pairwise comparison, Additive model, Hardy–Weinberg principle, Evolutionary pressure, Fitness function, Test statistic, Calculation, Evolution, Population size, Genetic association, Natural selection, Gene conversion, Special case, Inference, Margin of error, Bernoulli trial, Sexual selection, Generalized extreme value distribution, Reproductive success, Coefficient of relationship, Larva, Lactose, Zygosity, Estimation, Selection coefficient, Birth process, Probability, Allele, Effective population size, Stable distribution, Vestigiality, Stationary distribution