Stochastic processes in genetics and evolution : computer experiments in the quantification of mutation and selection /

The scope of this book is the field of evolutionary genetics. The book contains new methods for simulating evolution at the genomic level. It sets out applications using up to date Monte Carlo simulation methods applied in classical population genetics, and sets out new fields of quantifying mutatio...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Mode, Charles J.
Otros Autores: Sleeman, Candace K.
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Hackensack, N.J. : World Scientific, 2012.
Temas:
Genetics > Mathematical models.
Evolution (Biology) > Mathematical models.
Stochastic processes.
Processus stochastiques.
MATHEMATICS > Linear & Nonlinear Programming.
Evolution (Biology) > Mathematical models
Genetics > Mathematical models
Stochastic processes
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Prologue; Acknowledgments; Contents; 1. An Introduction to Mathematical Probability with Applications in Mendelian Genetics; 1.1 Introduction; 1.2 Mathematical Probability in Mendelian Genetics; 1.3 Examples of Finite Probability Spaces; Example 1.3.1: An Equal Frequency Model; Example 1.3.2: Partitions of an Abstract Set; Example 1.3.3: A Deterministic Case; Example 1.3.4: Inheritance of Eye Color and Sex; 1.4 Elementary Combinatorial Analysis; 1.5 The Binomial Distribution; Example 1.5.1: Distribution of Boys and Girls in Families of Size N.

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