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Stochastic processes, Jones, Peter Watts Smith, Peter


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Автор: Jones, Peter Watts Smith, Peter
Название:  Stochastic processes
ISBN: 9780367657604
Издательство: Taylor&Francis
Классификация:
ISBN-10: 0367657600
Обложка/Формат: Paperback
Страницы: 255
Вес: 0.43 кг.
Дата издания: 30.09.2020
Серия: Chapman & hall/crc texts in statistical science
Язык: English
Издание: 3 ed
Размер: 164 x 233 x 23
Читательская аудитория: Tertiary education (us: college)
Подзаголовок: An introduction, third edition
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Поставляется из: Европейский союз
Описание: This is the third edition of a popular UK textbook on stochastic processes. It has been updated with a new chapter on diffusion processes and Brownian motion, has extended material on birth and death processes and epidemics, plus new references throughout. The examples and exercises have all been expanded and improved.


Stochastic Processes

Автор: Gallager
Название: Stochastic Processes
ISBN: 1107039754 ISBN-13(EAN): 9781107039759
Издательство: Cambridge Academ
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Цена: 11246.00 р.
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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.

Discrete-Time Markov Control Processes

Автор: Hernandez-Lerma
Название: Discrete-Time Markov Control Processes
ISBN: 0387945792 ISBN-13(EAN): 9780387945798
Издательство: Springer
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Цена: 18167.00 р.
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Описание: This text provides a unified treatment of some recent theoretical developments on Markov control processes. Interest is mainly confined to MCPs with Borel state and control spaces, and possibly unbound costs and non-compact control constraint sets.

Analysis and Data-Based Reconstruction of Complex Nonlinear Dynamical Systems

Автор: M. Reza Rahimi Tabar
Название: Analysis and Data-Based Reconstruction of Complex Nonlinear Dynamical Systems
ISBN: 3030184714 ISBN-13(EAN): 9783030184711
Издательство: Springer
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Цена: 16070.00 р.
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Описание: This book focuses on a central question in the field of complex systems: Given a fluctuating (in time or space), uni- or multi-variant sequentially measured set of experimental data (even noisy data), how should one analyse non-parametrically the data, assess underlying trends, uncover characteristics of the fluctuations (including diffusion and jump contributions), and construct a stochastic evolution equation?Here, the term 'non-parametrically' exemplifies that all the functions and parameters of the constructed stochastic evolution equation can be determined directly from the measured data.The book provides an overview of methods that have been developed for the analysis of fluctuating time series and of spatially disordered structures. Thanks to its feasibility and simplicity, it has been successfully applied to fluctuating time series and spatially disordered structures of complex systems studied in scientific fields such as physics, astrophysics, meteorology, earth science, engineering, finance, medicine and the neurosciences, and has led to a number of important results.The book also includes the numerical and analytical approaches to the analyses of complex time series that are most common in the physical and natural sciences. Further, it is self-contained and readily accessible to students, scientists, and researchers who are familiar with traditional methods of mathematics, such as ordinary, and partial differential equations.The codes for analysing continuous time series are available in an R package developed by the research group Turbulence, Wind energy and Stochastic (TWiSt) at the Carl von Ossietzky University of Oldenburg under the supervision of Prof. Dr. Joachim Peinke. This package makes it possible to extract the (stochastic) evolution equation underlying a set of data or measurements.

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.

Problems In Probability (2Nd Edition)

Автор: Mills Terence
Название: Problems In Probability (2Nd Edition)
ISBN: 9814551457 ISBN-13(EAN): 9789814551458
Издательство: World Scientific Publishing
Цена: 6019.00 р.
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Описание: This is a book of problems in probability and their solutions. The work has been written for undergraduate students who have a background in calculus and wish to study probability.Probability theory is a key part of contemporary mathematics. The subject plays a key role in the insurance industry, modelling financial markets, and statistics in general -- including all those fields of endeavour to which statistics is applied (e.g. health, physical sciences, engineering, economics, social sciences). Every student majoring in mathematics at university ought to take a course on probability or mathematical statistics. Probability is now a standard part of high school mathematics, and teachers ought to be well versed and confident in the subject. Problem solving is important in mathematics. This book combines problem solving and probability.

Fndmntls Of Probability 4E

Автор: Ghahramani
Название: Fndmntls Of Probability 4E
ISBN: 1498755097 ISBN-13(EAN): 9781498755092
Издательство: Taylor&Francis
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Цена: 16843.00 р.
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Описание: Covers topics used in a calculus-based junior-senior probability course. It can also be used as a text for a second course in probability. The historical roots and applications of many of the theorems and definitions are presented in detail, accompanied by suitable examples or counterexamples.

Applied Probability

Автор: Val?rie Girardin; Nikolaos Limnios
Название: Applied Probability
ISBN: 3030073521 ISBN-13(EAN): 9783030073527
Издательство: Springer
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Цена: 6986.00 р.
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Описание:

This textbook addresses postgraduate students in applied mathematics, probability, and statistics, as well as computer scientists, biologists, physicists and economists, who are seeking a rigorous introduction to applied stochastic processes. Pursuing a pedagogic approach, the content follows a path of increasing complexity, from the simplest random sequences to the advanced stochastic processes. Illustrations are provided from many applied fields, together with connections to ergodic theory, information theory, reliability and insurance. The main content is also complemented by a wealth of examples and exercises with solutions.
Fundamentals of Probability and Stochastic Processes with Applications to Communications

Автор: Kun Il Park
Название: Fundamentals of Probability and Stochastic Processes with Applications to Communications
ISBN: 3319885413 ISBN-13(EAN): 9783319885414
Издательство: Springer
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Цена: 16769.00 р.
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Описание: This book provides engineers with focused treatment of the mathematics needed to understand probability, random variables, and stochastic processes, which are essential mathematical disciplines used in communications engineering. The author explains the basic concepts of these topics as plainly as possible so that people with no in-depth knowledge of these mathematical topics can better appreciate their applications in real problems. Applications examples are drawn from various areas of communications. If a reader is interested in understanding probability and stochastic processes that are specifically important for communications networks and systems, this book serves his/her need.

XIII Symposium on Probability and Stochastic Processes: Unam, Mexico, December 4-8, 2017

Автор: Lуpez Sergio I., Rivero Vнctor M., Rocha-Arteaga Alfonso
Название: XIII Symposium on Probability and Stochastic Processes: Unam, Mexico, December 4-8, 2017
ISBN: 3030575128 ISBN-13(EAN): 9783030575120
Издательство: Springer
Цена: 19564.00 р.
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Описание: Reflected(degenerate) Diffusions and Stationary Measures.- Multidimensional random walks conditioned to stay ordered via generalized ladder height functions.- A Berry-Esseen type theorem for finite free convolution.- Predicting the Last Zero of a Spectrally Negative Lйvy Process.- Box-Ball system: soliton and tree decomposition of excursions.- Invertibility of infinitely divisible continuous-time moving average processes.

Stationary Stochastic Processes. (Mn-8)

Автор: Hida Takeyuki
Название: Stationary Stochastic Processes. (Mn-8)
ISBN: 0691648077 ISBN-13(EAN): 9780691648071
Издательство: Wiley
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Цена: 12958.00 р.
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Описание: Encompassing both introductory and more advanced research material, these notes deal with the author`s contributions to stochastic processes and focus on Brownian motion processes and its derivative white noise. Originally published in 1970. The Princeton Legacy Library uses the latest print-on-demand technology to again make available previously

Essentials of Stochastic Processes

Автор: Durrett Richard
Название: Essentials of Stochastic Processes
ISBN: 3319833316 ISBN-13(EAN): 9783319833316
Издательство: Springer
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Цена: 9083.00 р.
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Описание: Building upon the previous editions, this textbook is a first course in stochastic processes taken by undergraduate and graduate students (MS and PhD students from math, statistics, economics, computer science, engineering, and finance departments) who have had a course in probability theory.

Stochastic Processes with R: An Introduction

Автор: Korosteleva Olga
Название: Stochastic Processes with R: An Introduction
ISBN: 1032153733 ISBN-13(EAN): 9781032153735
Издательство: Taylor&Francis
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Цена: 13779.00 р.
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Описание: Stochastic Processes with R: An Introduction cuts through the heavy theory that is present in most courses on random processes and serves as practical guide to simulated trajectories and real-life applications for stochastic processes.


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