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Computational Probability Applications, Andrew G. Glen; Lawrence M. Leemis


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Цена: 90840T
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Склад Америка: 99 шт.  
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Автор: Andrew G. Glen; Lawrence M. Leemis
Название:  Computational Probability Applications
Издательство: Springer
Классификация:
ISBN: 3319433156
ISBN-13(EAN): 9783319433158
Обложка/Формат: Hardback
Страницы: 256
Вес: 0.567 кг.
Дата издания: 2017
Серия: International series in operations research & management science
Язык: English
Издание: 1st ed. 2017
Иллюстрации: 10 illustrations, color; 68 illustrations, black and white; x, 256 p. 78 illus., 10 illus. in color.
Размер: 234 x 156 x 16
Читательская аудитория: Professional & vocational
Рейтинг:
Поставляется из: Германии
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.

Дополнительное описание: Accurate Estimation with One Order Statistic.- On the Inverse Gamma as a Survival Distribution.- Order Statistics in Goodness-of-Fit Testing.- The 'Straightforward' Nature of Arrival Rate Estimation?.- Survival Distributions Based on the Incomplete Gamma


Elementary probability for applications

Автор: Durrett, Rick
Название: Elementary probability for applications
ISBN: 0521867568 ISBN-13(EAN): 9780521867566
Издательство: Cambridge Academ
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Цена: 50680 T
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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 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

Digital Dice: Computational Solutions to Practical Probability Problems (New in Paperback)

Автор: Nahin Paul J.
Название: Digital Dice: Computational Solutions to Practical Probability Problems (New in Paperback)
ISBN: 0691158215 ISBN-13(EAN): 9780691158211
Издательство: Wiley
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Цена: 13460 T
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Описание: Some probability problems are so difficult that they stump the smartest mathematicians. But even the hardest of these problems can often be solved with a computer and a Monte Carlo simulation, in which a random-number generator simulates a physical process, such as a million rolls of a pair of dice. This is what Digital Dice is all about: how to ge

Intermediate Probability - A Computational Approach

Автор: Paolella
Название: Intermediate Probability - A Computational Approach
ISBN: 0470026375 ISBN-13(EAN): 9780470026373
Издательство: Wiley
Рейтинг:
Цена: 100550 T
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Описание: Many of the traditional and older advanced texts do not cover the newer topics in probability such as Paretian distribution and noncentral distributions and saddlepoint approximation. The material is only covered in research monographs or in journal articles.

Probability Theory with Applications

Автор: Rao M.M., Swift R.J.
Название: Probability Theory with Applications
ISBN: 0387277307 ISBN-13(EAN): 9780387277301
Издательство: Springer
Рейтинг:
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
Рейтинг:
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.

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
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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.

Computational Probability

Автор: John H. Drew; Diane L. Evans; Andrew G. Glen; Lawr
Название: Computational Probability
ISBN: 3319433210 ISBN-13(EAN): 9783319433219
Издательство: Springer
Рейтинг:
Цена: 90840 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This new edition includes the latest advances and developments in computational probability involving A Probability Programming Language (APPL). The book examines and presents, in a systematic manner, computational probability methods that encompass data structures and algorithms. The developed techniques address problems that require exact probability calculations, many of which have been considered intractable in the past. The book addresses the plight of the probabilist by providing algorithms to perform calculations associated with random variables.

Computational Probability: Algorithms and Applications in the Mathematical Sciences, 2nd Edition begins with an introductory chapter that contains short examples involving the elementary use of APPL. Chapter 2 reviews the Maple data structures and functions necessary to implement APPL. This is followed by a discussion of the development of the data structures and algorithms (Chapters 3–6 for continuous random variables and Chapters 7–9 for discrete random variables) used in APPL. The book concludes with Chapters 10–15 introducing a sampling of various applications in the mathematical sciences. This book should appeal to researchers in the mathematical sciences with an interest in applied probability and instructors using the book for a special topics course in computational probability taught in a mathematics, statistics, operations research, management science, or industrial engineering department.

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
Рейтинг:
Цена: 195590 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.



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