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Quantitative Genetics, Armando Caballero


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Цена: 12038.00р.
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Автор: Armando Caballero
Название:  Quantitative Genetics
ISBN: 9781108481410
Издательство: Cambridge Academ
Классификация:



ISBN-10: 1108481418
Обложка/Формат: Hardcover
Страницы: 342
Вес: 0.79 кг.
Дата издания: 30.04.2020
Серия: Mathematics
Язык: English
Иллюстрации: Worked examples or exercises; 43 tables, black and white; 6 halftones, black and white; 95 line drawings, black and white
Размер: 250 x 174 x 19
Читательская аудитория: Tertiary education (us: college)
Ключевые слова: Evolution,Genetics (non-medical),Probability & statistics, SCIENCE / Life Sciences / Genetics & Genomics
Ссылка на Издательство: Link
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Поставляется из: Англии
Описание: This accessible and up-to-date text uses applied examples and model problems to enhance students` understanding of the concepts and applications of quantitative genetics. It provides the most current and in-depth view of the field for researchers and professionals in genetics, genomics, plant and animal breeding, and conservation science.


Darwin: A Very Short Introduction

Автор: Howard, Jonathan (Professor of Cell Genetics, Inst
Название: Darwin: A Very Short Introduction
ISBN: 0192854542 ISBN-13(EAN): 9780192854544
Издательство: Oxford Academ
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Цена: 1582.00 р.
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Описание: Darwin`s theory that our ancestors were apes caused a furore in the scientific world and outside it when The Origin of Species was published in 1859. Analysing Darwin`s major insights and arguments, this work reasserts the importance of his work for the development of modern biology.

Genetics and Analysis of Quantitative Traits

Автор: Michael Lynch and Bruce Walsh
Название: Genetics and Analysis of Quantitative Traits
ISBN: 0878934812 ISBN-13(EAN): 9780878934812
Издательство: Oxford Academ
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Цена: 51728.00 р.
Наличие на складе: Ожидается поступление.

Описание: Professors Lynch and Walsh bring together the diverse array of theoretical and empirical applications of quantitative genetics in a work that is up-to-date, comprehensive and accessible to anyone with a rudimentary understanding of statistics and genetics.

Molecular and Quantitative Animal Genetics. HasanKhatib (ed).2015.-Wiley-Backwell; 1 edition (March 2, 2015)

Название: Molecular and Quantitative Animal Genetics. HasanKhatib (ed).2015.-Wiley-Backwell; 1 edition (March 2, 2015)
ISBN: 1118677404 ISBN-13(EAN): 9781118677407
Издательство: Wiley
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Цена: 14090.00 р.
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Описание: Animal genetics is a foundational discipline in the fields of animal science, animal breeding, and veterinary sciences. While genetics underpins the healthy development and breeding of all living organisms, this is especially true in domestic animals, specifically with respect to breeding for key traits.

Handbook of Quantitative Forest Genetics

Автор: Lauren Fins; S.T. Friedman; J.V. Brotschol
Название: Handbook of Quantitative Forest Genetics
ISBN: 0792315685 ISBN-13(EAN): 9780792315681
Издательство: Springer
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Цена: 28734.00 р.
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Описание: Contains chapters focusing on the decision points faced by quantitative geneticists and breeders in designing programs and analyzing data. This handbook was designed as a tool for forest geneticists, tree breeders and other tree improvement personnel, as well as a textbook for university courses at the graduate level in quantitative genetics.

Quantitative Genetics

Автор: Xu Shizhong
Название: Quantitative Genetics
ISBN: 3030839397 ISBN-13(EAN): 9783030839390
Издательство: Springer
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Цена: 9781.00 р.
Наличие на складе: Поставка под заказ.

Описание: One characteristic of this textbook is represented by three chapters of technical reviews for Mendelian genetics, population genetics and preliminary statistics, which are prerequisites for studying quantitative genetics.

Nonlinear Pricing Methods in Quantitative Finance

Автор: Guyon
Название: Nonlinear Pricing Methods in Quantitative Finance
ISBN: 1466570334 ISBN-13(EAN): 9781466570337
Издательство: Taylor&Francis
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Цена: 27562.00 р.
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Описание:

New Tools to Solve Your Option Pricing Problems

For nonlinear PDEs encountered in quantitative finance, advanced probabilistic methods are needed to address dimensionality issues. Written by two leaders in quantitative research--including Risk magazine's 2013 Quant of the Year--Nonlinear Option Pricing compares various numerical methods for solving high-dimensional nonlinear problems arising in option pricing. Designed for practitioners, it is the first authored book to discuss nonlinear Black-Scholes PDEs and compare the efficiency of many different methods.

Real-World Solutions for Quantitative Analysts

The book helps quants develop both their analytical and numerical expertise. It focuses on general mathematical tools rather than specific financial questions so that readers can easily use the tools to solve their own nonlinear problems. The authors build intuition through numerous real-world examples of numerical implementation. Although the focus is on ideas and numerical examples, the authors introduce relevant mathematical notions and important results and proofs. The book also covers several original approaches, including regression methods and dual methods for pricing chooser options, Monte Carlo approaches for pricing in the uncertain volatility model and the uncertain lapse and mortality model, the Markovian projection method and the particle method for calibrating local stochastic volatility models to market prices of vanilla options with/without stochastic interest rates, the a + bλ technique for building local correlation models that calibrate to market prices of vanilla options on a basket, and a new stochastic representation of nonlinear PDE solutions based on marked branching diffusions.

Quantitative Finance

Автор: Matt Davison
Название: Quantitative Finance
ISBN: 143987168X ISBN-13(EAN): 9781439871683
Издательство: Taylor&Francis
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Цена: 13779.00 р.
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Описание:

Teach Your Students How to Become Successful Working Quants

Quantitative Finance: A Simulation-Based Introduction Using Excel provides an introduction to financial mathematics for students in applied mathematics, financial engineering, actuarial science, and business administration. The text not only enables students to practice with the basic techniques of financial mathematics, but it also helps them gain significant intuition about what the techniques mean, how they work, and what happens when they stop working.

After introducing risk, return, decision making under uncertainty, and traditional discounted cash flow project analysis, the book covers mortgages, bonds, and annuities using a blend of Excel simulation and difference equation or algebraic formalism. It then looks at how interest rate markets work and how to model bond prices before addressing mean variance portfolio optimization, the capital asset pricing model, options, and value at risk (VaR). The author next focuses on binomial model tools for pricing options and the analysis of discrete random walks. He also introduces stochastic calculus in a nonrigorous way and explains how to simulate geometric Brownian motion. The text proceeds to thoroughly discuss options pricing, mostly in continuous time. It concludes with chapters on stochastic models of the yield curve and incomplete markets using simple discrete models.

Accessible to students with a relatively modest level of mathematical background, this book will guide your students in becoming successful quants. It uses both hand calculations and Excel spreadsheets to analyze plenty of examples from simple bond portfolios. The spreadsheets are available on the book's CRC Press web page.

Likelihood, Bayesian, and MCMC Methods in Quantitative Genetics

Автор: Daniel Sorensen; Daniel Gianola
Название: Likelihood, Bayesian, and MCMC Methods in Quantitative Genetics
ISBN: 1441929975 ISBN-13(EAN): 9781441929976
Издательство: Springer
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Цена: 26120.00 р.
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Описание: This book, suitable for numerate biologists and for applied statisticians, provides the foundations of likelihood, Bayesian and MCMC methods in the context of genetic analysis of quantitative traits.

Quantitative Modeling of Operational Risk in Finance and Banking Using Possibility Theory

Автор: Arindam Chaudhuri; Soumya K. Ghosh
Название: Quantitative Modeling of Operational Risk in Finance and Banking Using Possibility Theory
ISBN: 3319374184 ISBN-13(EAN): 9783319374185
Издательство: Springer
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Цена: 11753.00 р.
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Описание: This book offers a comprehensive guide to the modelling of operational risk using possibility theory. The book offers a complete assessment of fuzzy methods for determining both value at risk (VaR) and subjective value at risk (SVaR), together with a stability estimation of VaR and SVaR.

Quantitative methods in finance

Автор: Watsham, Terry J. Parramore, Keith
Название: Quantitative methods in finance
ISBN: 186152367X ISBN-13(EAN): 9781861523679
Издательство: Cengage Learning
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Цена: 13304.00 р.
Наличие на складе: Нет в наличии.

Описание: This text explains the mathematical and statistical applications relevant to modern financial instruments and risk management techniques. It progresses at a comfortable pace for those with less mathematical expertise yet reaches a high level of analysis for the more experienced.

Quantitative Data Analysis

Автор: Treiman Donald J
Название: Quantitative Data Analysis
ISBN: 0470380039 ISBN-13(EAN): 9780470380031
Издательство: Wiley
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Цена: 11714.00 р.
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Описание: This book is an accessible introduction to quantitative data analysis, concentrating on the key issues facing those new to research, such as how to decide which statistical procedure is suitable, and how to interpret the subsequent results.

Statistical Genetics of Quantitative Traits

Автор: Rongling Wu; Changxing Ma; George Casella
Название: Statistical Genetics of Quantitative Traits
ISBN: 1441919120 ISBN-13(EAN): 9781441919120
Издательство: Springer
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Цена: 22201.00 р.
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Описание: Aimed at graduate students and researchers and including statistical models and analytical procedures, this book introduces the basic concepts and methods used in the statistical analysis and modeling of the DNA-based marker and phenotypic data that arise in agriculture and related fields.


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