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Elementary probability for applications, Durrett, Rick


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Автор: Durrett, Rick
Название:  Elementary probability for applications   (Рик Дюрретт: Основы теории вероятности для прикладных целей)
Издательство: Cambridge Academ
Классификация:
ISBN: 0521867568
ISBN-13(EAN): 9780521867566
Обложка/Формат: Hardback
Страницы: 264
Вес: 0.656 кг.
Дата издания: 01.09.2009
Язык: English
Иллюстрации: 55 b/w illus. 80 tables 355 exercises
Размер: 255 x 195 x 19
Читательская аудитория: Tertiary education (us: college)
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Поставляется из: Англии
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.

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: 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.

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

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: 52400 T
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Описание: Provides an introduction to probability theory and its applications.

Probability Theory with Applications

Автор: Rao M.M., Swift R.J.
Название: Probability Theory with Applications
ISBN: 0387277307 ISBN-13(EAN): 9780387277301
Издательство: Springer
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Цена: 76860 T
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Описание: This book is a revised and expanded edition of a successful graduate and reference text. The material in the book is designed for a standard graduate course on probability theory, including some important applications. This new edition contains a detailed treatment of the core area of probability, and both structural and limit results are presented in full detail. Compared to the first edition, the material and presentation are better highlighted with several (small and large) alterations made to each chapter. Key features of the book include:

Basic Probability Theory with Applications

Автор: Mario Lefebvre
Название: Basic Probability Theory with Applications
ISBN: 0387749942 ISBN-13(EAN): 9780387749945
Издательство: Springer
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Цена: 52400 T
Наличие на складе: Невозможна поставка.
Описание: Presents elementary probability theory with applications that illustrate the theory. This book reviews the basic elements of differential calculus which are used in the material to follow. It is suitable for students in pure and applied sciences such as mathematics, engineering, computer science, finance and economics.

Formalized Probability Theory And Applications Using Theorem Proving

Автор: Hasan & Tahar
Название: Formalized Probability Theory And Applications Using Theorem Proving
ISBN: 1466683155 ISBN-13(EAN): 9781466683150
Издательство: Eurospan
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Цена: 165750 T
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Описание: Scientists and engineers often have to deal with systems that exhibit random or unpredictable elements and must effectively evaluate probabilities in each situation. Computer simulations, while the traditional tool used to solve such problems, are limited in the scale and complexity of the problems they can solve.Formalized Probability Theory and Applications Using Theorem Proving discusses some of the limitations inherent in computer systems when applied to problems of probabilistic analysis, and presents a novel solution to these limitations, combining higher-order logic with computer-based theorem proving. Combining practical application with theoretical discussion, this book is an important reference tool for mathematicians, scientists, engineers, and researchers in all STEM fields.

An Introduction to Probability Theory and Its Applications, Volume 1, 3rd Edition

Автор: Feller, William
Название: An Introduction to Probability Theory and Its Applications, Volume 1, 3rd Edition
ISBN: 0471257087 ISBN-13(EAN): 9780471257080
Издательство: Wiley
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Цена: 194000 T
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Описание:

A complete guide to the theory and practical applications of probability theory

An Introduction to Probability Theory and Its Applications uniquely blends a comprehensive overview of probability theory with the real-world application of that theory. Beginning with the background and very nature of probability theory, the book then proceeds through sample spaces, combinatorial analysis, fluctuations in coin tossing and random walks, the combination of events, types of distributions, Markov chains, stochastic processes, and more. The book's comprehensive approach provides a complete view of theory along with enlightening examples along the way.


Computational Probability Applications

Автор: Andrew G. Glen; Lawrence M. Leemis
Название: Computational Probability Applications
ISBN: 3319433156 ISBN-13(EAN): 9783319433158
Издательство: Springer
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Цена: 90840 T
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Описание: This focuses on the developing field of building probability models with the power of symbolic algebra systems. The book combines the uses of symbolic algebra with probabilistic/stochastic application and highlights the applications in a variety of contexts. The research explored in each chapter is unified by the use of A Probability Programming Language (APPL) to achieve the modeling objectives. APPL, as a research tool, enables a probabilist or statistician the ability to explore new ideas, methods, and models. Furthermore, as an open-source language, it sets the foundation for future algorithms to augment the original code.

Computational Probability Applications is comprised of fifteen chapters, each presenting a specific application of computational probability using the APPL modeling and computer language. The chapter topics include using inverse gamma as a survival distribution, linear approximations of probability density functions, and also moment-ratio diagrams for univariate distributions. These works highlight interesting examples, often done by undergraduate students and graduate students that can serve as templates for future work. In addition, this book should appeal to researchers and practitioners in a range of fields including probability, statistics, engineering, finance, neuroscience, and economics.


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