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Introduction to Stochastic Processes and Simulation, Gerard–Michel Cochard


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Автор: Gerard–Michel Cochard
Название:  Introduction to Stochastic Processes and Simulation
ISBN: 9781786304841
Издательство: Wiley
Классификация:


ISBN-10: 1786304848
Обложка/Формат: Hardcover
Страницы: 310
Вес: 0.63 кг.
Дата издания: 05.11.2019
Серия: Computing & IT
Язык: English
Размер: 238 x 164 x 25
Читательская аудитория: Professional & vocational
Ключевые слова: Computer science
Ссылка на Издательство: Link
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Поставляется из: Англии
Описание: Mastering chance has, for a long time, been a preoccupation of mathematical research. Today, we possess a predictive approach to the evolution of systems based on the theory of probabilities. Even so, uncovering this subject is sometimes complex, because it necessitates a good knowledge of the underlying mathematics. This book offers an introduction to the processes linked to the fluctuations in chance and the use of numerical methods to approach solutions that are difficult to obtain through an analytical approach. It takes classic examples of inventory and queueing management, and addresses more diverse subjects such as equipment reliability, genetics, population dynamics, physics and even market finance. It is addressed to those at Masters level, at university, engineering school or management school, but also to an audience of those in continuing education, in order that they may discover the vast field of decision support.


Stochastic Calculus for Finance I

Автор: Shreve
Название: Stochastic Calculus for Finance I
ISBN: 0387401008 ISBN-13(EAN): 9780387401003
Издательство: Springer
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Цена: 8384.00 р.
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Описание: Developed for the professional Master`s program in Computational Finance at Carnegie Mellon, the leading financial engineering program in the U.S. Has been tested in the classroom and revised over a period of several yearsExercises conclude every chapter;

Stochastic processes

Автор: Doob J.l.
Название: Stochastic processes
ISBN: 0471523690 ISBN-13(EAN): 9780471523697
Издательство: Wiley
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Цена: 19398.00 р. 27712.00 -30%
Наличие на складе: Есть (1 шт.)
Описание: A systematic account of the development of stochastic processes over the last 20 years. A supplement contained within the text includes a treatment of the various aspects of measure theory. There is also a chapter on the specialized problem of prediction theory.

Mathematical Biology I. An Introduction

Автор: Murray, James D.
Название: Mathematical Biology I. An Introduction
ISBN: 1475777094 ISBN-13(EAN): 9781475777093
Издательство: Springer
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Цена: 9781.00 р.
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Описание: Providing an in-depth look at the practical use of math modeling, it features exercises throughout that are drawn from a variety of bioscientific disciplines - population biology, developmental biology, physiology, epidemiology, and evolution, among others.

Elementary Probability Theory / With Stochastic Processes and an Introduction to Mathematical Finance

Автор: Chung K. L., AitSahlia Farid
Название: Elementary Probability Theory / With Stochastic Processes and an Introduction to Mathematical Finance
ISBN: 038795578X ISBN-13(EAN): 9780387955780
Издательство: Springer
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Цена: 10480.00 р.
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Описание: Provides an introduction to probability theory and its applications.

Introduction to Stochastic Integration

Автор: Kuo
Название: Introduction to Stochastic Integration
ISBN: 0387287205 ISBN-13(EAN): 9780387287201
Издательство: Springer
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Цена: 6986.00 р.
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Описание: Also called Ito calculus, the theory of stochastic integration has applications in virtually every scientific area involving random functions. This introductory textbook provides a concise introduction to the Ito calculus. From the reviews:"Introduction to Stochastic Integration is exactly what the title says.

An Introduction to Markov Processes

Автор: Stroock Daniel W.
Название: An Introduction to Markov Processes
ISBN: 3540234519 ISBN-13(EAN): 9783540234517
Издательство: Springer
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Цена: 8384.00 р.
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Описание: This book provides a rigorous but elementary introduction to the theory of Markov Processes on a countable state space. It should be accessible to students with a solid undergraduate background in mathematics, including students from engineering, economics, physics, and biology. Topics covered are: Doeblin's theory, general ergodic properties, and continuous time processes. A whole chapter is devoted to reversible processes and the use of their associated Dirichlet forms to estimate the rate of convergence to equilibrium.

Stochastic Simulation: Algorithms and Analysis

Автор: Asmussen
Название: Stochastic Simulation: Algorithms and Analysis
ISBN: 038730679X ISBN-13(EAN): 9780387306797
Издательство: Springer
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Цена: 6981.00 р.
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Описание: Sampling-based computational methods have become a fundamental part of the numerical toolset of practitioners and researchers across an enormous number of different applied domains and academic disciplines. This book provides a broad treatment of such sampling-based methods , as well as accompanying mathematical analysis of the convergence properties of the methods discussed . The reach of the ideas is illustrated by discussing a wide range of applications and the models that have found wide usage. The first  half of the book focusses on general methods, whereas the second half discusses model-specific algorithms. Given the wide range of  examples, exercises and applications students, practitioners and researchers in  probability, statistics, operations research, economics, finance, engineering  as well as biology and chemistry and physics will find the book of value.  Soren Asmussen is Professor of Applied Probability at Aarhus University, Denmark and Peter Glynn is Thomas Ford Professor of  Engineering at Stanford University. 

Introduction to Stochastic Processes with R

Автор: Dobrow Robert P.
Название: Introduction to Stochastic Processes with R
ISBN: 1118740653 ISBN-13(EAN): 9781118740651
Издательство: Wiley
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Цена: 16782.00 р.
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Описание: An introduction to stochastic processes through the use of R Introduction to Stochastic Processes with R is an accessible and well-balanced presentation of the theory of stochastic processes, with an emphasis on real-world applications of probability theory in the natural and social sciences.

Simulation of Stochastic Processes with Given Accuracy and Reliab

Автор: Kozachenko, Yuriy V.
Название: Simulation of Stochastic Processes with Given Accuracy and Reliab
ISBN: 1785482173 ISBN-13(EAN): 9781785482175
Издательство: Elsevier Science
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Цена: 29139.00 р.
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Описание:

Simulation has now become an integral part of research and development across many fields of study. Despite the large amounts of literature in the field of simulation and modeling, one recurring problem is the issue of accuracy and confidence level of constructed models. By outlining the new approaches and modern methods of simulation of stochastic processes, this book provides methods and tools in measuring accuracy and reliability in functional spaces. The authors explore analysis of the theory of Sub-Gaussian (including Gaussian one) and Square Gaussian random variables and processes and Cox processes. Methods of simulation of stochastic processes and fields with given accuracy and reliability in some Banach spaces are also considered.

  • Provides an analysis of the theory of Sub-Gaussian (including Gaussian one) and Square Gaussian random variables and processes
  • Contains information on the study of the issue of accuracy and confidence level of constructed models not found in other books on the topic
  • Provides methods and tools in measuring accuracy and reliability in functional spaces
Simulation and chaotic behavior of alpha-stable stochastic processes

Автор: Janicki, Aleksand Weron, A.
Название: Simulation and chaotic behavior of alpha-stable stochastic processes
ISBN: 0367402211 ISBN-13(EAN): 9780367402211
Издательство: Taylor&Francis
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Цена: 9798.00 р.
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Описание: Presents new computer methods in approximation, simulation, and visualization for a host of alpha-stable stochastic processes.


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