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Elementary Probability Theory / With Stochastic Processes and an Introduction to Mathematical Finance, Chung K. L., AitSahlia Farid


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Цена: 52400T
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Склад Америка: 100 шт.  
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Автор: Chung K. L., AitSahlia Farid
Название:  Elementary Probability Theory / With Stochastic Processes and an Introduction to Mathematical Finance   (К. Чанг: Основы теории вероятности)
Издательство: Springer
Классификация:
ISBN: 038795578X
ISBN-13(EAN): 9780387955780
Обложка/Формат: Hardback
Страницы: 415
Вес: 0.778 кг.
Дата издания: 01.02.2007
Серия: Undergraduate Texts in Mathematics
Язык: English
Издание: 4th ed. 2003. corr.
Иллюстрации: 57 black & white illustrations, 57 colour illustra
Размер: 236 x 163 x 34
Читательская аудитория: General (us: trade)
Рейтинг:
Поставляется из: Германии
Описание: Provides an introduction to probability theory and its applications.
Дополнительное описание: Формат: 235x155
Илюстрации: 57
Круг читателей: Undergraduates
Ключевые слова: Probability
Stochastischer Prozess
Wahrscheinlichkeitsrechnung
Язык: eng
Издание: 4th ed.
Оглавление: Set * Probability * Counting * Random Variables * Conditioning and Independence * Mean, Variance and Transforms * Poisson and Normal Distributions * From Random Walks to Markov Chains * Mean-Variance Pricing Model * Option Pricing Theory



      Старое издание

Problems and Solutions in Mathematical Finance: Volume I - Stochastic Calculus

Автор: Chin Eric, Olafsson Sverrir, Nel Dian
Название: Problems and Solutions in Mathematical Finance: Volume I - Stochastic Calculus
ISBN: 1119965837 ISBN-13(EAN): 9781119965831
Издательство: Wiley
Рейтинг:
Цена: 33270 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Mathematical finance requires the use of advanced mathematical techniques drawn from the theory of probability, stochastic processes and stochastic differential equations. These areas are generally introduced and developed at an abstract level, making it problematic when applying these techniques to practical issues in finance.

Stochastic Processes

Автор: Gallager
Название: Stochastic Processes
ISBN: 1107039754 ISBN-13(EAN): 9781107039759
Издательство: Cambridge Academ
Рейтинг:
Цена: 36030 T
Наличие на складе: Есть
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.

Stochastic processes

Автор: Parzen, Emanuel
Название: Stochastic processes
ISBN: 0898714419 ISBN-13(EAN): 9780898714418
Издательство: Eurospan
Рейтинг:
Цена: 56330 T
Наличие на складе: Поставка под заказ.
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.

Elementary probability for applications

Автор: Durrett, Rick
Название: Elementary probability for applications
ISBN: 0521867568 ISBN-13(EAN): 9780521867566
Издательство: Cambridge Academ
Рейтинг:
Цена: 50680 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This is a perfect one-semester introduction to probability, for students who are familiar with basic calculus. The lively style reflects the author`s philosophy that the best way to learn probability is to see it in action, and he gives over 200 examples from genetics, sports, finance, and current events.

Introduction To The Theory Of Random Processes (Graduate Studies In Mathematics)

Автор: Krylov
Название: Introduction To The Theory Of Random Processes (Graduate Studies In Mathematics)
ISBN: 0821829858 ISBN-13(EAN): 9780821829851
Издательство: Eurospan
Рейтинг:
Цена: 32190 T
Наличие на складе: Невозможна поставка.
Описание: Discusses the theory of stochastic processes. This book presents basics of discrete time martingales. It includes such topics as Wiener process, stationary processes, infinitely divisible processes, and Ito stochastic equations.

An Elementary Introduction to Mathematical Finance

Автор: Ross
Название: An Elementary Introduction to Mathematical Finance
ISBN: 0521192536 ISBN-13(EAN): 9780521192538
Издательство: Cambridge Academ
Рейтинг:
Цена: 32750 T
Наличие на складе: Есть
Описание: This textbook on the basics of option pricing is accessible to readers with limited mathematical training. It is for both professional traders and undergraduates studying the basics of finance. This third edition includes three new chapters, along with expanded sets of exercises and references for all the chapters.

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
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Цена: 123420 T
Наличие на складе: Невозможна поставка.
Описание: Updated to conform to Mathematica (R) 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

Theory of Probability and Random Processes

Автор: Koralov
Название: Theory of Probability and Random Processes
ISBN: 3540254846 ISBN-13(EAN): 9783540254843
Издательство: Springer
Рейтинг:
Цена: 41920 T
Наличие на складе: Есть у поставщика Поставка под заказ.
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.


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