Mathematical and Statistical Developments of Evolutionary Theory:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Dordrecht
Springer Netherlands
1990
|
| Schriftenreihe: | NATO ASI Series, Series C: Mathematical and Physical Sciences
299 |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Beschreibung: | Mathematical and statistical approaches to evolutionary theory are numerous. The NATO Advanced Study Institute (ASI) held at the Universite de Montreal, Montreal, August 3-21, 1987, was an opportunity to review most of the classical approaches and to study the more recent developments. The participation of theoretical biologists and geneticists as well as applied mathematicians and statisticians made possible exchanges of ideas between students and scholars having different views on the subject. These Proceedings contain the lecture notes of seven (7) of the eleven (11) series of lectures that were given. ESS (Evolutionarily Stable Stragety) theory is considered from many perspectives, from a game-theoretic approach to understanding behavior and evolution (W.G.S. Hines), and a systematic classification of properties and patterns of ESS's (C. Cannings) to particular applications of the differential geometry of the Shahshahani metric (E. Akin). Extensions of ESS theory to sexual populations and finite populations, not to mention games between relatives, are presented (W.G.S. Hines). Special attention is given to the classical game called the War of Attrition but with n players and random rewards (C. Cannings). The Shahshahani metric is also used to show the occurrence of cycling in the two-locus, two-allele model (E. Akin). Various inference problems in population genetics are adressed. Procedures to detect and measure selection components and polymorphism (in particular, the Wahlund effect) at one or several loci from mother-offspring combinations in natural populations are discussed at length (F.B. Christiansen) |
| Beschreibung: | 1 Online-Ressource (380p) |
| ISBN: | 9789400905139 9789401067171 |
| ISSN: | 1389-2185 |
| DOI: | 10.1007/978-94-009-0513-9 |
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| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 576 - Genetics and evolution |
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| discipline | Physik Biologie |
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| spelling | Lessard, Sabin Verfasser aut Mathematical and Statistical Developments of Evolutionary Theory edited by Sabin Lessard Proceedings of the NATO Advanced Study Institute and Séminaire de mathématiques supérieures, Montreal, Canada, August 3-21, 1987 Dordrecht Springer Netherlands 1990 1 Online-Ressource (380p) txt rdacontent c rdamedia cr rdacarrier NATO ASI Series, Series C: Mathematical and Physical Sciences 299 1389-2185 Mathematical and statistical approaches to evolutionary theory are numerous. The NATO Advanced Study Institute (ASI) held at the Universite de Montreal, Montreal, August 3-21, 1987, was an opportunity to review most of the classical approaches and to study the more recent developments. The participation of theoretical biologists and geneticists as well as applied mathematicians and statisticians made possible exchanges of ideas between students and scholars having different views on the subject. These Proceedings contain the lecture notes of seven (7) of the eleven (11) series of lectures that were given. ESS (Evolutionarily Stable Stragety) theory is considered from many perspectives, from a game-theoretic approach to understanding behavior and evolution (W.G.S. Hines), and a systematic classification of properties and patterns of ESS's (C. Cannings) to particular applications of the differential geometry of the Shahshahani metric (E. Akin). Extensions of ESS theory to sexual populations and finite populations, not to mention games between relatives, are presented (W.G.S. Hines). Special attention is given to the classical game called the War of Attrition but with n players and random rewards (C. Cannings). The Shahshahani metric is also used to show the occurrence of cycling in the two-locus, two-allele model (E. Akin). Various inference problems in population genetics are adressed. Procedures to detect and measure selection components and polymorphism (in particular, the Wahlund effect) at one or several loci from mother-offspring combinations in natural populations are discussed at length (F.B. Christiansen) Life sciences Human genetics Evolution (Biology) Statistics Life Sciences Evolutionary Biology Human Genetics Mathematical Modeling and Industrial Mathematics Statistics, general Biowissenschaften Statistik https://doi.org/10.1007/978-94-009-0513-9 Verlag Volltext |
| spellingShingle | Lessard, Sabin Mathematical and Statistical Developments of Evolutionary Theory Life sciences Human genetics Evolution (Biology) Statistics Life Sciences Evolutionary Biology Human Genetics Mathematical Modeling and Industrial Mathematics Statistics, general Biowissenschaften Statistik |
| title | Mathematical and Statistical Developments of Evolutionary Theory |
| title_alt | Proceedings of the NATO Advanced Study Institute and Séminaire de mathématiques supérieures, Montreal, Canada, August 3-21, 1987 |
| title_auth | Mathematical and Statistical Developments of Evolutionary Theory |
| title_exact_search | Mathematical and Statistical Developments of Evolutionary Theory |
| title_full | Mathematical and Statistical Developments of Evolutionary Theory edited by Sabin Lessard |
| title_fullStr | Mathematical and Statistical Developments of Evolutionary Theory edited by Sabin Lessard |
| title_full_unstemmed | Mathematical and Statistical Developments of Evolutionary Theory edited by Sabin Lessard |
| title_short | Mathematical and Statistical Developments of Evolutionary Theory |
| title_sort | mathematical and statistical developments of evolutionary theory |
| topic | Life sciences Human genetics Evolution (Biology) Statistics Life Sciences Evolutionary Biology Human Genetics Mathematical Modeling and Industrial Mathematics Statistics, general Biowissenschaften Statistik |
| topic_facet | Life sciences Human genetics Evolution (Biology) Statistics Life Sciences Evolutionary Biology Human Genetics Mathematical Modeling and Industrial Mathematics Statistics, general Biowissenschaften Statistik |
| url | https://doi.org/10.1007/978-94-009-0513-9 |
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