The Genetic Structure of Populations: Biomathematics, cartea 5
Autor A. Jacquard Traducere de B. Charlesworth, D. Charlesworthen Limba Engleză Paperback – 5 iun 2012
Din seria Biomathematics
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Specificații
ISBN-13: 9783642884177
ISBN-10: 3642884172
Pagini: 592
Ilustrații: XVIII, 572 p. 8 illus.
Dimensiuni: 155 x 235 x 35 mm
Greutate: 0.82 kg
Ediția:1970
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seria Biomathematics
Locul publicării:Berlin, Heidelberg, Germany
ISBN-10: 3642884172
Pagini: 592
Ilustrații: XVIII, 572 p. 8 illus.
Dimensiuni: 155 x 235 x 35 mm
Greutate: 0.82 kg
Ediția:1970
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seria Biomathematics
Locul publicării:Berlin, Heidelberg, Germany
Public țintă
ResearchCuprins
The Individual.- The Population.- General Bibliography.- 1 Basic Facts and Concepts.- 1. The Foundations of Genetics.- 2. Basic Concepts and Notation. Genetic Structure of Populations and of Individuals.- 2 A Reference Model: Absence of Evolutionary Factors.- 3. The Hardy-Weinberg Equilibrium for one Locus.- 4. The Equilibrium for Two Loci.- 5. The Inheritance of Quantitative Characters.- 6. Genetic Relationships between Relatives.- 7. Overlapping Generations.- 3 The Causes of Evolutionary Changes in Populations.- 8. Finite Populations.- 9. Deviations from Random Mating.- 10. Selection.- 11. Mutation.- 12. Migration.- 13. The Combined Effects of Different Evolutionary Forces.- 4 The Study of Human Population Structure.- 14. Genetic Distance. I. Basic Concepts and Methods.- 15. Genetic Distance. II. The Representation of Sets of Objects.- 16. Some Studies of Human Populations.- Conclusion.- Appendix A. Linear Difference Equations.- 1. Definitions.- 2. The Solution of Linear Difference Equations.- Appendix B. Some Definitions and Results in Matrix Algebra.- 1. Definitions.- 1.1. Types of Matrix.- 1.2. The Determinant of a Matrix.- 1.3. Matrix Addition and Multiplication.- 2. Diagonalisation of a Square Matrix.- 2.1. The Powers of a Matrix.- 2.2. The Eigenvalues of a Matrix.- 3. The Spectral Analysis of a Matrix.- 4. Real Symmetric Matrices.- 4.1. The Eigenvalues of a Real Symmetric Matrix are all Real.- 4.2. The Eigenvectors of a Real Symmetric Matrix Corresponding to Distinct Eigenvalues are Orthogonal.- 5. Stochastic Matrices.- 5.1. The Eigenvalues of Stochastic Matrices.- 5.2. The Spectral Analysis of a Stochastic Matrix.- References.