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Adventures in Stochastic Processes, Resnick Sidney I.


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Цена: 5133р.
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Автор: Resnick Sidney I.
Название:  Adventures in Stochastic Processes
Издательство: Springer
Классификация:
Вероятность и статистика
Оптимизация
Прикладная математика

ISBN: 0817635912
ISBN-13(EAN): 9780817635916
ISBN: 0-8176-3591-2
ISBN-13(EAN): 978-0-8176-3591-6
Обложка/Формат: Hardback
Страницы: 640
Вес: 1.067 кг.
Дата издания: 01.09.1992
Язык: ENG
Иллюстрации: 1, black & white illustrations
Размер: 24.31 x 16.59 x 3.51 cm
Читательская аудитория: Postgraduate, research & scholarly
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: Stochastic processes are necessary ingredients for building models of a wide variety of phenomena exhibiting time varying randomness. In a lively and imaginative presentation, studded with examples, exercises, and applications, and supported by inclusion of computational procedures, the author has created a textbook that provides easy access to this fundamental topic for many students of applied sciences at many levels. With its carefully modularized discussion and crystal clear differentiation between rigorous proof and plausibility argument, it is accessible to beginners but flexible enough to serve as well those who come to the course with strong backgrounds. The prerequisite background for reading the book is a graduate level pre-measure theoretic probability course. No knowledge of measure theory is presumed and advanced notions of conditioning are scrupulously avoided until the later chapters of the book.The book can be used for either a one or two semester course as given in departments of mathematics, statistics, operation research, business and management, or a number of engineering departments. Its approach to exercises and applications is practical and serious. Some underlying principles of complex problems and computations are cleanly and quickly delineated through rich vignettes of whimsically imagined Happy Harry and his Optima Street gang’s adventures in a world whose randomness is a never-ending source of both wonder and scientific insight.The tools of applied probability---discrete spaces, Markov chains, renewal theory, point processes, branching processes, random walks, Brownian motion---are presented to the reader in illuminating discussion. Applications include such topics as queuing, storage, risk analysis, genetics, inventory, choice, economics, sociology, and other. Because of the conviction that analysts who build models should know how to build them for each class of process studied, the author has included such constructions.
Дополнительное описание: Формат: 235x155
Круг читателей: Graduate Students, Instructors, and Researchers
Ключевые слова:
Язык: eng
Оглавление: Preface * 1. Preliminaries: Discrete Index Sets and/or Discrete State Spaces * 2. Markov Chains * 3. Renewal Theory * 4. Point Processes * 5. Continuous Time Markov Chains * 6. Brownian Motion * 7. The General Random Walk * References * Index





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: 6544 р.
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Описание: Provides an introduction to probability theory and its applications.

Stochastic Processes in Physics and Chemistry,

Автор: N.G. Van Kampen
Название: Stochastic Processes in Physics and Chemistry,
ISBN: 0444529659 ISBN-13(EAN): 9780444529657
Издательство: Elsevier Science
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Цена: 9350 р.
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Описание: The third edition of Van Kampen's standard work has been revised and updated. The main difference with the second edition is that the contrived application of the quantum master equation in section 6 of chapter XVII has been replaced with a satisfactory treatment of quantum fluctuations. Apart from that throughout the text corrections have been made and a number of references to later developments have been included. From the recent textbooks the following are the most relevant.C.W.Gardiner, Quantum Optics (Springer, Berlin 1991)D.T. Gillespie, Markov Processes (Academic Press, San Diego 1992)W.T. Coffey, Yu.P.Kalmykov, and J.T.Waldron, The Langevin Equation (2nd edition, World Scientific, 2004)

Limit Theorems for Stochastic Processes

Автор: Jacod Jean, Shiryaev Albert N.
Название: Limit Theorems for Stochastic Processes
ISBN: 3540439323 ISBN-13(EAN): 9783540439325
Издательство: Springer
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Цена: 11219 р.
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Описание: Initially the theory of convergence in law of stochastic processes was developed quite independently from the theory of martingales, semimartingales and stochastic integrals. Apart from a few exceptions essentially concerning diffusion processes, it is only recently that the relation between the two theories has been thoroughly studied. The authors of this Grundlehren volume, two of the international leaders in the field, propose a systematic exposition of convergence in law for stochastic processes, from the point of view of semimartingale theory, with emphasis on results that are useful for mathematical theory and mathematical statistics. This leads them to develop in detail some particularly useful parts of the general theory of stochastic processes, such as martingale problems, and absolute continuity or contiguity results. The book contains an introduction to the theory of martingales and semimartingales, random measures stochastic integrales, Skorokhod topology, etc., as well as a large number of results which have never appeared in book form, and some entirely new results. The second edition contains some additions to the text and references. Some parts are completely rewritten.

Stochastic Processes

Автор: Gallager
Название: Stochastic Processes
ISBN: 1107039754 ISBN-13(EAN): 9781107039759
Издательство: Cambridge Academ
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Цена: 6244 р.
Наличие на складе: Есть (1 шт.)
Описание: This definitive textbook provides a solid introduction to discrete and continuous stochastic processes, tackling a complex field in a way that instils a deep understanding of the relevant mathematical principles, and develops an intuitive grasp of the way these principles can be applied to modelling real-world systems. It includes a careful review of elementary probability and detailed coverage of Poisson, Gaussian and Markov processes with richly varied queuing applications. The theory and applications of inference, hypothesis testing, estimation, random walks, large deviations, martingales and investments are developed. Written by one of the world's leading information theorists, evolving over twenty years of graduate classroom teaching and enriched by over 300 exercises, this is an exceptional resource for anyone looking to develop their understanding of stochastic processes.

Stochastic processes

Автор: Parzen, Emanuel
Название: Stochastic processes
ISBN: 0898714419 ISBN-13(EAN): 9780898714418
Издательство: Eurospan
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Цена: 7382 р.
Наличие на складе: Нет в наличии.

Описание: This introductory textbook explains how and why probability models are applied to scientific fields such as medicine, biology, physics, oceanography, economics, and psychology to solve problems about stochastic processes. It does not just show how a problem is solved but explains why by formulating questions and first steps in the solutions.

Financial modelling with jump processes

Автор: Cont, Tankov
Название: Financial modelling with jump processes
ISBN: 1584884134 ISBN-13(EAN): 9781584884132
Издательство: Taylor&Francis
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Цена: 9404 р.
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Описание: Presents an overview of the theoretical, numerical, and empirical aspects of using jump processes in financial modeling. This book demonstrates that the concepts and tools necessary for understanding and implementing models with jumps can be more intuitive that those involved in the Black Scholes and diffusion models.

Theory of Probability and Random Processes

Автор: Koralov
Название: Theory of Probability and Random Processes
ISBN: 3540254846 ISBN-13(EAN): 9783540254843
Издательство: Springer
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Цена: 5142 р.
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Описание: A one-year course in probability theory and the theory of random processes, taught at Princeton University to undergraduate and graduate students, forms the core of the content of this bookIt is structured in two parts: the first part providing a detailed discussion of Lebesgue integration, Markov chains, random walks, laws of large numbers, limit theorems, and their relation to Renormalization Group theory. The second part includes the theory of stationary random processes, martingales, generalized random processes, Brownian motion, stochastic integrals, and stochastic differential equations. One section is devoted to the theory of Gibbs random fields.This material is essential to many undergraduate and graduate courses. The book can also serve as a reference for scientists using modern probability theory in their research.

Levy processes and stochastic calculus

Автор: Applebaum, David
Название: Levy processes and stochastic calculus
ISBN: 0521738652 ISBN-13(EAN): 9780521738651
Издательство: Cambridge Academ
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Цена: 7285 р.
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Описание: L?vy processes form a wide and rich class of random process, and have many applications ranging from physics to finance. Stochastic calculus is the mathematics of systems interacting with random noise. Here, the author ties these two subjects together, beginning with an introduction to the general theory of L?vy processes, then leading on to develop the stochastic calculus for L?vy processes in a direct and accessible way. This fully revised edition now features a number of new topics. These include: regular variation and subexponential distributions; necessary and sufficient conditions for L?vy processes to have finite moments; characterisation of L?vy processes with finite variation; Kunita's estimates for moments of L?vy type stochastic integrals; new proofs of Ito representation and martingale representation theorems for general L?vy processes; multiple Wiener-L?vy integrals and chaos decomposition; an introduction to Malliavin calculus; an introduction to stability theory for L?vy-driven SDEs.

Applied Stochastic Processes

Автор: Lefebvre Mario
Название: Applied Stochastic Processes
ISBN: 0387341714 ISBN-13(EAN): 9780387341712
Издательство: Springer
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Цена: 7012 р.
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Описание: Applied Stochastic Processes uses a distinctly applied framework to present the most important topics in the field of stochastic processes.Key features:-Presents carefully chosen topics such as Gaussian and Markovian processes, Markov chains, Poisson processes, Brownian motion, and queueing theory-Examines in detail special diffusion processes, with implications for finance, various generalizations of Poisson processes, and renewal processes-Serves graduate students in a variety of disciplines such as applied mathematics, operations research, engineering, finance, and business administration-Contains numerous examples and approximately 350 advanced problems, reinforcing both concepts and applications-Includes entertaining mini-biographies of mathematicians, giving an enriching historical context-Covers basic results in probabilityTwo appendices with statistical tables and solutions to the even-numbered problems are included at the end. This textbook is for graduate students in applied mathematics, operations research, and engineering. Pure mathematics students interested in the applications of probability and stochastic processes and students in business administration will also find this book useful.

Combinatorial Stochastic Processes / Ecole d`EtГ© de ProbabilitГ©s de Saint-Flour XXXII - 2002

Автор: Pitman Jim, Picard Jean
Название: Combinatorial Stochastic Processes / Ecole d`EtГ© de ProbabilitГ©s de Saint-Flour XXXII - 2002
ISBN: 354030990X ISBN-13(EAN): 9783540309901
Издательство: Springer
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Цена: 4207 р.
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Описание: The purpose of this text is to bring graduate students specializing in probability theory to current research topics at the interface of combinatorics and stochastic processes, in particular the theory of random combinatorial structures such as partitions, permutations, trees, forests, and mappings, and connections between the asymptotic theory of enumeration of such structures and the theory of stochastic processes like Brownian motion and Poisson processes. The course is a summary and review of the author's research over the last ten years, much of it joint work with coauthors David Aldous, Jean Bertoin, Steven Evans, and Marc Yor.

The Theory of Stochastic Processes III

Автор: Gikhman Iosif I., Skorokhod Anatoli V., Kotz S.
Название: The Theory of Stochastic Processes III
ISBN: 3540499407 ISBN-13(EAN): 9783540499404
Издательство: Springer
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Цена: 4674 р.
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Описание: From the Reviews: "Gihman and Skorohod have done an excellent job of presenting the theory in its present state of rich imperfection."D.W. Stroock in Bulletin of the American Mathematical Society, 1980"To call this work encyclopedic would not give an accurate picture of its content and style. Some parts read like a textbook, but others are more technical and contain relatively new results. ... The exposition is robust and explicit, as one has come to expect of the Russian tradition of mathematical writing. The set when completed will be an invaluable source of information and reference in this ever-expanding field."K.L. Chung in American Scientist, 1977"The dominant impression is of the authors' mastery of their material, and of their confident insight into its underlying structure."J.F.C. Kingman in Bulletin of the London Mathematical Society, 1977

Statistical Analysis of Stochastic Processes in Time

Автор: J. K. Lindsey
Название: Statistical Analysis of Stochastic Processes in Time
ISBN: 0521837413 ISBN-13(EAN): 9780521837415
Издательство: Cambridge Academ
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Цена: 7494 р.
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Описание: Many observed phenomena, from the changing health of a patient to values on the stock market, are characterised by quantities that vary over time: stochastic processes are designed to study them. Much theoretical work has been done but virtually no modern books are available to show how the results can be applied. This book fills that gap by introducing practical methods of applying stochastic processes to an audience knowledgeable only in basic statistics.

It covers almost all aspects of the subject and presents the theory in an easily accessible form that is highlighted by application to many examples. These examples arise from dozens of areas, from sociology through medicine to engineering. Complementing these are exercise sets making the book suited for introductory courses in stochastic processes.

Software (available from www.cambridge.org) is provided for the freely available R system for the reader to apply to all the models presented.


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