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Stochastic processes in genetics and evolution[electronic resource] :computer experiments in the quantification of mutation and selection /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
杜威分類號:	519.7
書名/作者:	Stochastic processes in genetics and evolution : computer experiments in the quantification of mutation and selection // Charles J. Mode, Candace K. Sleeman.
作者:	Mode, Charles J.
其他作者:	Sleeman, Candace K.
出版者:	Hackensack, N.J. : : World Scientific,, 2012.
面頁冊數:	1 online resource (xxviii, 666 p.) : : ill.
標題:	Genetics - Mathematical models.
標題:	Evolution (Biology) - Mathematical models.
標題:	Stochastic processes.
ISBN:	9789814350686 (electronic bk.)
ISBN:	9814350680 (electronic bk.)
ISBN:	9789814397070 (electronic bk.)
書目註:	Includes bibliographical references and index.
內容註:	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.
摘要、提要註:	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.
電子資源:	http://www.worldscientific.com/worldscibooks/10.1142/8159#t=toc

Stochastic processes in genetics and evolution[electronic resource] :computer experiments in the quantification of mutation and selection /
Mode, Charles J.

Stochastic processes in genetics and evolutioncomputer experiments in the quantification of mutation and selection /[electronic resource] :Charles J. Mode, Candace K. Sleeman. - Hackensack, N.J. :World Scientific,2012. - 1 online resource (xxviii, 666 p.) :ill.

Includes bibliographical references and index.

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.

ISBN: 9789814350686 (electronic bk.)Subjects--Topical Terms:

342215
Genetics
--Mathematical models.

LC Class. No.: QH438.4.M3 / M63 2012

Dewey Class. No.: 519.7

Stochastic processes in genetics and evolution[electronic resource] :computer experiments in the quantification of mutation and selection /
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100 1 $a Mode, Charles J. $3 586655
245 1 0 $a Stochastic processes in genetics and evolution $h [electronic resource] : $b computer experiments in the quantification of mutation and selection / $c Charles J. Mode, Candace K. Sleeman.
260 $a Hackensack, N.J. : $b World Scientific, $c 2012.
300 $a 1 online resource (xxviii, 666 p.) : $b ill.
504 $a Includes bibliographical references and index.
505 0 $a 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.
520 $a 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.
650 0 $a Genetics $x Mathematical models. $3 342215
650 0 $a Evolution (Biology) $x Mathematical models. $3 495735
650 0 $a Stochastic processes. $3 177592
700 1 $a Sleeman, Candace K. $3 586656
856 4 0 $u http://www.worldscientific.com/worldscibooks/10.1142/8159#t=toc