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Fundamentals of Mathematical Evolutionary Genetics, Yuri M. Svirezhev; V.P. Passekov


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Автор: Yuri M. Svirezhev; V.P. Passekov
Название:  Fundamentals of Mathematical Evolutionary Genetics
ISBN: 9789401076708
Издательство: Springer
Классификация:




ISBN-10: 9401076707
Обложка/Формат: Paperback
Страницы: 396
Вес: 0.58 кг.
Дата издания: 26.09.2011
Серия: Mathematics and its Applications
Язык: English
Размер: 234 x 156 x 22
Основная тема: Mathematics
Ссылка на Издательство: Link
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Поставляется из: Германии


Mathematical methods and models for economists

Автор: Fuente, Angel de la.
Название: Mathematical methods and models for economists
ISBN: 0521585295 ISBN-13(EAN): 9780521585293
Издательство: Cambridge Academ
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Цена: 8554.00 р.
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Описание: This book is intended as a textbook for a first-year PhD course in mathematics for economists and as a reference for graduate students in economics. It provides a self-contained, rigorous treatment of most of the concepts and techniques required to follow the standard first-year theory sequence in micro and macroeconomics.

Fundamentals of Mathematical Evolutionary Genetics

Автор: Yuri M. Svirezhev; V.P. Passekov
Название: Fundamentals of Mathematical Evolutionary Genetics
ISBN: 9027727724 ISBN-13(EAN): 9789027727725
Издательство: Springer
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Цена: 15372.00 р.
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Описание: One service mathematics has rendered the Et moi, ..., si j'avait su comment en revenir, human race. It has put common sense back je riy serais point aile.' Jules Verne where it belongs, on the topmost shelf next to the dusty canister labelled 'discarded non- The series is divergent; therefore we may be sense'. able to do something with it. Eric T. Bell O. Heaviside Mathematics is a tool for thought. A highly necessary tool in a world where both feedback and non- linearities abound. Similarly, all kinds of parts of mathematics serve as tools for other parts and for other sciences. Applying a simple rewriting rule to the quote on the right above one finds such statements as: 'One service topology has rendered mathematical physics .. o'; 'One service logic has rendered com- puter science .. o'; 'One service category theory has rendered mathematics .. .'. All arguably true. And all statements obtainable this way form part of the raison d'etre of this series.

Introduction to Mathematical Portfolio Theory

Автор: Joshi
Название: Introduction to Mathematical Portfolio Theory
ISBN: 1107042313 ISBN-13(EAN): 9781107042315
Издательство: Cambridge Academ
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Цена: 9029.00 р.
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Описание: A concise yet comprehensive guide to the mathematics of portfolio theory from a modelling perspective, with discussion of the assumptions, limitations and implementations of the models as well as the theory underlying them. Aimed at advanced undergraduates, this book can be used for self-study or as a course text.

Mathematical and Statistical Developments of Evolutionary Theory

Автор: S. Lessard
Название: Mathematical and Statistical Developments of Evolutionary Theory
ISBN: 9401067171 ISBN-13(EAN): 9789401067171
Издательство: Springer
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Цена: 12157.00 р.
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Описание: Proceedings of the NATO Advanced Study Institute and Seminaire de mathematiques superieures, Montreal, Canada, August 3-21, 1987

Fundamentals of Mathematical Statistics

Автор: Hung T. Nguyen; Gerald S. Rogers
Название: Fundamentals of Mathematical Statistics
ISBN: 0387970142 ISBN-13(EAN): 9780387970141
Издательство: Springer
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Цена: 11872.00 р.
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Описание: This is the first half of a text for a two semester course in mathematical statistics at the senior/graduate level for those who need a strong background in statistics as an essential tool in their career. To study this text, the reader needs a thorough familiarity with calculus including such things as Jacobians and series but somewhat less intense familiarity with matrices including quadratic forms and eigenvalues. For convenience, these lecture notes were divided into two parts: Volume I, Probability for Statistics, for the first semester, and Volume II, Statistical Inference, for the second. We suggest that the following distinguish this text from other introductions to mathematical statistics. 1. The most obvious thing is the layout. We have designed each lesson for the (U.S.) 50 minute class; those who study independently probably need the traditional three hours for each lesson. Since we have more than (the U.S. again) 90 lessons, some choices have to be made. In the table of contents, we have used a * to designate those lessons which are "interesting but not essential" (INE) and may be omitted from a general course; some exercises and proofs in other lessons are also "INE". We have made lessons of some material which other writers might stuff into appendices. Incorporating this freedom of choice has led to some redundancy, mostly in definitions, which may be beneficial.

Fundamentals of Mathematical Statistics

Автор: Hung T. Nguyen; Gerald S. Rogers
Название: Fundamentals of Mathematical Statistics
ISBN: 146138916X ISBN-13(EAN): 9781461389163
Издательство: Springer
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Цена: 11173.00 р.
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Описание: This is a text (divided into two volumes) for a two semester course in Mathematical Statistics at the Senior/Graduate level. Volume II: Statistical Inference is designed for the second semester and contains a rigorous introduction to Mathematical Statistics, from random samples to asymptotic theory of statistical inference.

The fundamentals of modern statistical genetics

Автор: Laird
Название: The fundamentals of modern statistical genetics
ISBN: 1441973370 ISBN-13(EAN): 9781441973375
Издательство: Springer
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Цена: 11878.00 р.
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Описание: This book covers the statistical models and methods that are used to understand human genetics, following the historical and recent developments of human genetics. Starting with Mendel’s first experiments to genome-wide association studies, the book describes how genetic information can be incorporated into statistical models to discover disease genes. All commonly used approaches in statistical genetics (e.g. aggregation analysis, segregation, linkage analysis, etc), are used, but the focus of the book is modern approaches to association analysis. Numerous examples illustrate key points throughout the text, both of Mendelian and complex genetic disorders. The intended audience is statisticians, biostatisticians, epidemiologists and quantitatively- oriented geneticists and health scientists wanting to learn about statistical methods for genetic analysis, whether to better analyze genetic data, or to pursue research in methodology. A background in intermediate level statistical methods is required. The authors include few mathematical derivations, and the exercises provide problems for students with a broad range of skill levels. No background in genetics is assumed.

Ecological and Evolutionary Genetics of Drosophila

Автор: J.S.F. Barker; William T. Starmer; Ross J. MacInty
Название: Ecological and Evolutionary Genetics of Drosophila
ISBN: 1468487701 ISBN-13(EAN): 9781468487701
Издательство: Springer
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Цена: 16979.00 р.
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Описание: Proceedings of an international workshop held in Armidale, Australia, January 5-10, 1989

An Operator Semigroup in Mathematical Genetics

Автор: Adam Bobrowski; Marek Kimmel
Название: An Operator Semigroup in Mathematical Genetics
ISBN: 3642359574 ISBN-13(EAN): 9783642359576
Издательство: Springer
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Цена: 7685.00 р.
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Описание: This book covers the application to two mutation models: single step mutation for microsatellite loci and single-base substitutions.

Mathematical Population Genetics 1

Автор: Warren J. Ewens
Название: Mathematical Population Genetics 1
ISBN: 1441918981 ISBN-13(EAN): 9781441918987
Издательство: Springer
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Цена: 18284.00 р.
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Описание: This is the first of a planned two-volume work discussing the mathematical aspects of population genetics with an emphasis on evolutionary theory.

Mathematical Topics in Population Genetics

Автор: Ken-ichi Kojima
Название: Mathematical Topics in Population Genetics
ISBN: 3642462464 ISBN-13(EAN): 9783642462467
Издательство: Springer
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Цена: 6986.00 р.
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Описание: A basic method of analyzing particulate gene systems is the proba- bilistic and statistical analyses. We must not forget the experimental works of Johanson (1909) and Nilsson-Ehle (1909) which supported Mendelian gene theory.

The Fundamentals of Modern Statistical Genetics

Автор: Nan M. Laird; Christoph Lange
Название: The Fundamentals of Modern Statistical Genetics
ISBN: 1461427754 ISBN-13(EAN): 9781461427759
Издательство: Springer
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Цена: 16769.00 р.
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Описание: This book covers the statistical models and methods that are used to understand human genetics, following the historical and recent developments of human genetics.


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