Introduction To Stochastic Processes, Mu-fa Chen, Yong-hua Mao

Автор: Gallager
Название: Stochastic Processes
ISBN: 1107039754 ISBN-13(EAN): 9781107039759
Издательство: Cambridge Academ
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Описание: This definitive textbook provides a solid introduction to stochastic processes, covering both theory and applications. It is written by one of the world`s leading information theorists, evolving over twenty years of graduate classroom teaching, and is accompanied by over 300 exercises, with online solutions for instructors.

Автор: Oksendal
Название: Stochastic Differential Equations
ISBN: 3540047581 ISBN-13(EAN): 9783540047582
Издательство: Springer
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Описание: Gives an introduction to the basic theory of stochastic calculus and its applications. This book offers examples in order to motivate and illustrate the theory and show its importance for many applications in for example economics, biology and physics.

Автор: Doob J.l.
Название: Stochastic processes
ISBN: 0471523690 ISBN-13(EAN): 9780471523697
Издательство: Wiley
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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.

Автор: Wolfgang Paul; J?rg Baschnagel
Название: Stochastic Processes; From Physics to Finance
ISBN: 3319003267 ISBN-13(EAN): 9783319003269
Издательство: Springer
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Описание: This book introduces the theory of stochastic processes with applications taken from physics and finance. It includes a discussion of extreme events, ranging from their mathematical definition to their importance for financial crashes.

Автор: Mois?s Santill?n
Название: Chemical Kinetics, Stochastic Processes, and Irreversible Thermodynamics
ISBN: 3319066889 ISBN-13(EAN): 9783319066882
Издательство: Springer
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Цена: 5590.00 р.
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Описание: Chemical Kinetics, Stochastic Processes, and Irreversible Thermodynamics

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.

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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Описание: Provides an introduction to probability theory and its applications.

Автор: Dobrow Robert P.
Название: Introduction to Stochastic Processes with R
ISBN: 1118740653 ISBN-13(EAN): 9781118740651
Издательство: Wiley
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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.

Автор: Gerard–Michel Cochard
Название: Introduction to Stochastic Processes and Simulation
ISBN: 1786304848 ISBN-13(EAN): 9781786304841
Издательство: Wiley
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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.