skip to main content
Guest
e-Shelf
My Account
Sign out
Sign in
This feature requires javascript
Library Search
Library Home
A-Z
Citation Linker
Course Reserves
New Books
Tags
Help
Language:
English
Chinese
This feature required javascript
This feature requires javascript
Primo Advanced Search
Primo Local Repository
Library Collection + Article
ILS ALEPH
Library Collection
article
Article
NUTN IR
IR
Primo Advanced Search Query Term
Input search text:
Show Results with:
criteria input
contains
is (exact)
starts with
Show Results with:
criteria input
Any
in the title
ISBN
ISSN
Show Results with:
in the title
Show Results with:
Any
in the title
ISBN
ISSN
Primo Advanced Search prefilters
Material Type:
criteria input
eBooks
eJournals
Audio Visual
All items
ILS ALEPH
Simple Search
This feature requires javascript
Stochastic processes in genetics and evolution computer experiments in the quantification of mutation and selection
Charles J. Mode Candace K Sleeman 2012
Online access
View Online
Details
Reviews & Tags
Recommendations
More
This feature requires javascript
Actions
Add to e-Shelf
Remove from e-Shelf
E-mail
Print
Permalink
Citation
EndNote
Export RIS
This feature requires javascript
Title:
Stochastic processes in genetics and evolution computer experiments in the quantification of mutation and selection
Author:
Charles J. Mode
Candace K Sleeman
Subjects:
Genetics -- Mathematical models
;
Evolution (Biology) -- Mathematical models
;
Stochastic processes
Description:
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.
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 mutation and selection at the Mendelian level. A serious limitation of Wright-Fisher process, the assumption that population size is constant, motivated the introduction of self regulating branching processes in this book. While providing a short review of the principles of probability and its application.
Publisher:
Hackensack, N.J. : World Scientific
Creation Date:
2012
Format:
1 online resource (xxviii, 666 p.) : ill..
Language:
English
Identifier:
ISBN9789814350686 (electronic bk.);ISBN9814350680 (electronic bk.);ISBN9789814397070 (electronic bk.)
Source:
NUTN ALEPH
Links
This item in the Library Catalog
Link to Resource
This item in Amazon.com
This item in WorldCat®
This feature requires javascript
This feature requires javascript
Back to results list
Previous
Result
9
Next
This feature requires javascript
This feature requires javascript
Searching Remote Databases, Please Wait
Searching for
in
scope:("NUTN"),scope:(NUTN_ALEPH)
Show me what you have so far
This feature requires javascript
This feature requires javascript