Контакты/Проезд  Доставка и Оплата Помощь/Возврат
История
  +7(495) 980-12-10
  пн-пт: 10-18 сб: 11-18
  shop@logobook.ru
   
    Поиск книг                    Поиск по списку ISBN Расширенный поиск    
Найти
  Зарубежные издательства Российские издательства  
Авторы | Каталог книг | Издательства | Новинки | Учебная литература | Акции | Cертификаты | Хиты | | |
 

A Modern Approach to Probability Theory, Fristedt Bert E., Gray Lawrence F.



Варианты приобретения
Цена: 8657р.
Кол-во:
 о цене
Наличие: Отсутствует. Возможна поставка под заказ.

При оформлении заказа до: 6 дек 2022
Ориентировочная дата поставки: Январь
При условии наличия книги у поставщика.

Добавить в корзину
в Мои желания

Автор: Fristedt Bert E., Gray Lawrence F.
Название:  A Modern Approach to Probability Theory
ISBN: 9780817638078
Издательство: Springer
Классификация:
ISBN-10: 0817638075
Обложка/Формат: Hardback
Страницы: 780
Вес: 1.26 кг.
Дата издания: 1996
Серия: Probability and its Applications
Язык: English
Иллюстрации: 1, black & white illustrations
Размер: 24.13 x 16.28 x 4.01
Читательская аудитория: Postgraduate, research & scholarly
Ссылка на Издательство: Link
Рейтинг:
Поставляется из: Германии
Дополнительное описание: Круг читателей: Graduate students and researchers in probability, mathematics, theoretical statistics, computer science and engineering, and mathematical finance and economics.
Язык: eng





A Course in Probability Theory, Revised Edition,

Автор: Kai Lai Chung
Название: A Course in Probability Theory, Revised Edition,
ISBN: 0121741516 ISBN-13(EAN): 9780121741518
Издательство: Elsevier Science
Рейтинг:
Цена: 8657 р.
Наличие на складе: Поставка под заказ.

Описание: This book is designed for undergraduate programs and students and can also be used as a first-year graduate text in probability. It offers a broad perspective, building on the synopsis of measure and integration offered in Chapter two.

Probability & Measure Theory,

Автор: Robert B. Ash
Название: Probability & Measure Theory,
ISBN: 0120652021 ISBN-13(EAN): 9780120652020
Издательство: Elsevier Science
Рейтинг:
Цена: 10851 р.
Наличие на складе: Поставка под заказ.

Описание: Provides coverage of conditional probability and expectation, strong laws of large numbers, martingale theory, the central limit theorem, ergodic theory, and Brownian motion. This text for a graduate-level course in probability includes background topics in analysis.

Mathematical Theory of Nonequilibrium Steady States / On the Frontier of Probability and Dynamical Systems

Автор: Jiang Da-Quan, Qian Min, Qian Ming-Ping
Название: Mathematical Theory of Nonequilibrium Steady States / On the Frontier of Probability and Dynamical Systems
ISBN: 3540206116 ISBN-13(EAN): 9783540206118
Издательство: Springer
Рейтинг:
Цена: 5192 р.
Наличие на складе: Поставка под заказ.

Описание: This volume provides a systematic mathematical exposition of the conceptual problems of nonequilibrium statistical physics, such as entropy production, irreversibility, and ordered phenomena. Markov chains, diffusion processes, and hyperbolic dynamical systems are used as mathematical models of physical systems. A measure-theoretic definition of entropy production rate and its formulae in various cases are given. It vanishes if and only if the stationary system is reversible and in equilibrium. Moreover, in the cases of Markov chains and diffusion processes on manifolds, it can be expressed in terms of circulations on directed cycles. Regarding entropy production fluctuations, the Gallavotti-Cohen fluctuation theorem is rigorously proved.

Lectures on Probability Theory and Statistics / Ecole d`EtГ© de ProbabilitГ©s de Saint-Flour XXXI - 2001

Автор: TavarГ© Simon, Zeitouni Ofer, Picard Jean
Название: Lectures on Probability Theory and Statistics / Ecole d`EtГ© de ProbabilitГ©s de Saint-Flour XXXI - 2001
ISBN: 3540208321 ISBN-13(EAN): 9783540208327
Издательство: Springer
Рейтинг:
Цена: 6578 р.
Наличие на складе: Поставка под заказ.

Описание: This volume contains lectures given at the 31st Probability Summer School in Saint-Flour (July 8-25, 2001). Simon Tavaré’s lectures serve as an introduction to the coalescent, and to inference for ancestral processes in population genetics. The stochastic computation methods described include rejection methods, importance sampling, Markov chain Monte Carlo, and approximate Bayesian methods. Ofer Zeitouni’s course on "Random Walks in Random Environment" presents systematically the tools that have been introduced to study the model. A fairly complete description of available results in dimension 1 is given. For higher dimension, the basic techniques and a discussion of some of the available results are provided. The contribution also includes an updated annotated bibliography and suggestions for further reading. Olivier Catoni's course appears separately.

Measure Theory and Probability Theory

Автор: Athreya
Название: Measure Theory and Probability Theory
ISBN: 038732903X ISBN-13(EAN): 9780387329031
Издательство: Springer
Рейтинг:
Цена: 12704 р.
Наличие на складе: Поставка под заказ.

Описание: This is a graduate level textbook on measure theory and probability theory. The book can be used as a text for a two semester sequence of courses in measure theory and probability theory, with an option to include supplemental material on stochastic processes and special topics. It is intended primarily for first year Ph.D. students in mathematics and statistics although mathematically advanced students from engineering and economics would also find the book useful. Prerequisites are kept to the minimal level of an understanding of basic real analysis concepts such as limits, continuity, differentiability, Riemann integration, and convergence of sequences and series. A review of this material is included in the appendix.The book starts with an informal introduction that provides some heuristics into the abstract concepts of measure and integration theory, which are then rigorously developed. The first part of the book can be used for a standard real analysis course for both mathematics and statistics Ph.D. students as it provides full coverage of topics such as the construction of Lebesgue-Stieltjes measures on real line and Euclidean spaces, the basic convergence theorems, L^p spaces, signed measures, Radon-Nikodym theorem, Lebesgue's decomposition theorem and the fundamental theorem of Lebesgue integration on R, product spaces and product measures, and Fubini-Tonelli theorems. It also provides an elementary introduction to Banach and Hilbert spaces, convolutions, Fourier series and Fourier and Plancherel transforms. Thus part I would be particularly useful for students in a typical Statistics Ph.D. program if a separate course on real analysis is not a standard requirement.Part II (chapters 6-13) provides full coverage of standard graduate level probability theory. It starts with Kolmogorov's probability model and Kolmogorov's existence theorem. It then treats thoroughly the laws of large numbers including renewal theory and ergodic theorems with applications and then weak convergence of probability distributions, characteristic functions, the Levy-Cramer continuity theorem and the central limit theorem as well as stable laws. It ends with conditional expectations and conditional probability, and an introduction to the theory of discrete time martingales.Part III (chapters 14-18) provides a modest coverage of discrete time Markov chains with countable and general state spaces, MCMC, continuous time discrete space jump Markov processes, Brownian motion, mixing sequences, bootstrap methods, and branching processes. It could be used for a topics/seminar course or as an introduction to stochastic processes.From the reviews: "...There are interesting and non-standard topics that are not usually included in a first course in measture-theoretic probability including Markov Chains and MCMC, the bootstrap, limit theorems for martingales and mixing sequences, Brownian motion and Markov processes. The material is well-suported with many end-of-chapter problems." D.L. McLeish for Short Book Reviews of the ISI, December 2006

Lectures on Probability Theory and Statistics / Ecole d`EtГ© de ProbabilitГ©s de Saint-Flour XXXIII - 2003

Автор: Dembo A., Funaki T., Picard Jean
Название: Lectures on Probability Theory and Statistics / Ecole d`EtГ© de ProbabilitГ©s de Saint-Flour XXXIII - 2003
ISBN: 3540260692 ISBN-13(EAN): 9783540260691
Издательство: Springer
Рейтинг:
Цена: 5192 р.
Наличие на складе: Поставка под заказ.

Описание: This volume contains two of the three lectures that were given at the 33rd Probability Summer School in Saint-Flour (July 6-23, 2003). Amir Dembo’s course is devoted to recent studies of the fractal nature of random sets, focusing on some fine properties of the sample path of random walk and Brownian motion. In particular, the cover time for Markov chains, the dimension of discrete limsup random fractals, the multi-scale truncated second moment and the Ciesielski-Taylor identities are explored. Tadahisa Funaki’s course reviews recent developments of the mathematical theory on stochastic interface models, mostly on the so-called \nabla \varphi interface model. The results are formulated as classical limit theorems in probability theory, and the text serves with good applications of basic probability techniques.

Probability, Statistical Optics, and Data Testing / A Problem Solving Approach

Автор: Frieden Roy
Название: Probability, Statistical Optics, and Data Testing / A Problem Solving Approach
ISBN: 3540417087 ISBN-13(EAN): 9783540417088
Издательство: Springer
Рейтинг:
Цена: 19428 р.
Наличие на складе: Поставка под заказ.

Описание: Scientists in optics are increasingly confronted with problems that are of a random nature and that require a working knowledge of probability and statistics for their solution. This textbook develops these subjects within the context of optics using a problem-solving approach. All methods are explicitly derived and can be traced back to three simple axioms given at the outset. Students with some previous exposure to Fourier optics or linear theory will find the material particularly absorbing and easy to understand.This third edition contains many new applications to optical and physical phenomena. This includes a method of estimating probability laws exactly, by regarding them as laws of physics to be determined using a new variational principle.

Lectures on Probability Theory and Statistics / Ecole d`EtГ© de ProbabilitГ©s de Saint-Flour XXXII - 2002

Автор: Tsirelson Boris, Werner Wendelin, Picard Jean
Название: Lectures on Probability Theory and Statistics / Ecole d`EtГ© de ProbabilitГ©s de Saint-Flour XXXII - 2002
ISBN: 3540213163 ISBN-13(EAN): 9783540213161
Издательство: Springer
Рейтинг:
Цена: 5192 р.
Наличие на складе: Поставка под заказ.

Описание: This is yet another indispensable volume for all probabilists and collectors of the Saint-Flour series, and is also of great interest for mathematical physicists. It contains two of the three lecture courses given at the 32nd Probability Summer School in Saint-Flour (July 7-24, 2002). Tsirelson's lectures introduce the notion of nonclassical noise produced by very nonlinear functions of many independent random variables, for instance singular stochastic flows or oriented percolation. Werner's contribution gives a survey of results on conformal invariance, scaling limits and properties of some two-dimensional random curves. It provides a definition and properties of the Schramm-Loewner evolutions, computations (probabilities, critical exponents), the relation with critical exponents of planar Brownian motions, planar self-avoiding walks, critical percolation, loop-erased random walks and uniform spanning trees.

Elementary probability for applications

Автор: Durrett, Rick
Название: Elementary probability for applications
ISBN: 0521867568 ISBN-13(EAN): 9780521867566
Издательство: Cambridge Academ
Рейтинг:
Цена: 8353 р.
Наличие на складе: Поставка под заказ.

Описание: This clear and lively introduction to probability theory concentrates on the results that are the most useful for applications, including combinatorial probability and Markov chains. Concise and focused, it is designed for a one-semester introductory course in probability for students who have some familiarity with basic calculus. Reflecting the author's philosophy that the best way to learn probability is to see it in action, there are more than 350 problems and 200 examples. The examples contain all the old standards such as the birthday problem and Monty Hall, but also include a number of applications not found in other books, from areas as broad ranging as genetics, sports, finance, and inventory management.

Introduction to Probability with Mathematica, Second Edition

Автор: Hastings
Название: Introduction to Probability with Mathematica, Second Edition
ISBN: 1420079387 ISBN-13(EAN): 9781420079388
Издательство: Taylor&Francis
Рейтинг:
Цена: 20625 р.
Наличие на складе: Невозможна поставка.

Описание: Updated to conform to Mathematica® 7.0, this second edition shows how to easily create simulations from templates and solve problems using Mathematica. Along with new sections on order statistics, transformations of multivariate normal random variables, and Brownian motion, this edition offers an expanded section on Markov chains, more example data of the normal distribution, and more attention on conditional expectation. It also includes additional problems from Actuarial Exam P as well as new examples, exercises, and data sets. The accompanying CD-ROM contains updated Mathematica notebooks and a revised solutions manual is available for qualifying instructors.

Probability Theory / Independence, Interchangeability, Martingales

Автор: Chow Yuan Shih, Teicher Henry
Название: Probability Theory / Independence, Interchangeability, Martingales
ISBN: 0387406077 ISBN-13(EAN): 9780387406077
Издательство: Springer
Рейтинг:
Цена: 6929 р.
Наличие на складе: Поставка под заказ.

Описание: Now available in paperback. This is a text comprising the major theorems of probability theory and the measure theoretical foundations of the subject. The main topics treated are independence, interchangeability,and martingales; particular emphasis is placed upon stopping times, both as tools in proving theorems and as objects of interest themselves. No prior knowledge of measure theory is assumed and a unique feature of the book is the combined presentation of measure and probability. It is easily adapted for graduate students familar with measure theory as indicated by the guidelines in the preface. Special features include: A comprehensive treatment of the law of the iterated logarithm; the Marcinklewicz-Zygmund inequality, its extension to martingales and applications thereof;  development and applications of the second moment analogue of Wald's equation; limit theorems for martingale arrays, the central limit theorem for the interchangeable and martingale cases, moment convergence in the central limit theorem; complete discussion, including central limit theorem, of the random casting of r balls into n cells; recent martingale inequalities; Cram r-L vy theore and factor-closed families of distributions. This edition includes a section dealing with U-statistic, adds additional theorems and examples, and includes simpler versions of some proofs.

Paradoxes in Probability Theory and Mathematical Statistics

Автор: SzГ©kely GГЎbor J.
Название: Paradoxes in Probability Theory and Mathematical Statistics
ISBN: 1402002998 ISBN-13(EAN): 9781402002991
Издательство: Springer
Рейтинг:
Цена: 6347 р.
Наличие на складе: Поставка под заказ.

Описание: Paradoxes in Probability Theory and Mathematical Statistics


ООО "Логосфера " Тел:+7(495) 980-12-10 www.logobook.ru
   В Контакте     В Контакте Мед  Мобильная версия