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Probability Theory with Applications, Rao M.M., Swift R.J.



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Цена: 11494р.
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Автор: Rao M.M., Swift R.J.
Название:  Probability Theory with Applications   (Теория вероятности)
Издательство: Springer
Классификация:
Математика
Дифферунциально и интегральное исчисление и математический анализ
Вероятность и статистика
Прикладная математика

ISBN: 0387277307
ISBN-13(EAN): 9780387277301
ISBN: 0-387-27730-7
ISBN-13(EAN): 978-0-387-27730-1
Обложка/Формат: Hardback
Страницы: 545
Вес: 0.94 кг.
Дата издания: 29.03.2006
Серия: Mathematics and Its Applications
Язык: English
Издание: 2nd ed. 2006
Иллюстрации: Xviii, 530 p.
Размер: 23.39 x 15.60 x 3.02
Читательская аудитория: Undergraduate
Ссылка на Издательство: Link
Рейтинг:
Поставляется из: Германии
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:
Дополнительное описание: Формат: 235x155
Круг читателей: Graduate students and researchers interested in probability theory
Ключевые слова: Characteristic functions
Convergence of random series
Markov dependence
Random Fourier series
Weak limit laws
Язык: eng
Издание: 2nd ed.





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: 7836 р.
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.

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: 27950 р.
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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.

Probability Theory with Applications,

Автор: M. M. Rao
Название: Probability Theory with Applications,
ISBN: 0125804806 ISBN-13(EAN): 9780125804806
Издательство: Elsevier Science
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Цена: 5429 р.
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Models for Probability and Statistical Inference -  Theory and Applications

Автор: Stapleton
Название: Models for Probability and Statistical Inference - Theory and Applications
ISBN: 0470073721 ISBN-13(EAN): 9780470073728
Издательство: Wiley
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Цена: 15131 р.
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Описание: Serves as a comprehensive treatment of the fundamentals of probability and statistical inference. This textbook helps readers to advance to topics such as sampling, linear models, design of experiments, statistical computing, survival analysis, and bootstrapping. It discusses modes of convergence of sequences of random variables.

Markov Chain Monte Carlo

Автор: Gamerman, Dani.
Название: Markov Chain Monte Carlo
ISBN: 1584885874 ISBN-13(EAN): 9781584885870
Издательство: Taylor&Francis
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Цена: 9123 р.
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Описание: Incorporating changes in theory and highlighting new applications, this book presents a concise, accessible, and comprehensive introduction to the methods of this valuable simulation technique. This second edition includes many new examples in the chapters on Gibbs sampling and Metropolis-Hastings algorithms. It incorporates all the recent developments in MCMC, including reversible jump, slice sampling, bridge sampling, path sampling, multiple-try, and delayed rejection. It also features many worked examples and discusses computation using both R and WinBUGS. With additional exercises and selected solutions within the text, it offers all data sets and software for download from the Web.

Real analysis with economic applications

Автор: Ok, E.
Название: Real analysis with economic applications
ISBN: 0691117683 ISBN-13(EAN): 9780691117683
Издательство: Wiley
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Цена: 12474 р.
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Описание: Addressing the topics of real analysis, this book discusses the elements of order theory, convex analysis, optimization, correspondences, linear and nonlinear functional analysis, fixed-point theory, dynamic programming, and calculus of variations. It includes fixed point theorems and applications to functional equations and optimization theory.

Statistics And Probability For Engineering Applications

Автор: Decoursey, William
Название: Statistics And Probability For Engineering Applications
ISBN: 0750676183 ISBN-13(EAN): 9780750676182
Издательство: Elsevier Science
Цена: 7310 р.
Наличие на складе: Невозможна поставка.

Fuzzy Logic and Probability Applications

Автор: Edited by Timothy J. Ross
Название: Fuzzy Logic and Probability Applications
ISBN: 0898715253 ISBN-13(EAN): 9780898715255
Издательство: Eurospan
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Цена: 17179 р.
Наличие на складе: Невозможна поставка.

Описание: Probabilists and fuzzy enthusiasts tend to disagree about which philosophy is best and they rarely work together. As a result, textbooks usually suggest only one of these methods for problem solving, but not both. This book is an exception. The authors, investigators from both fields, have combined their talents to provide a practical guide showing that both fuzzy logic and probability have their place in the world of problem solving. They work together with mutual benefit for both disciplines, providing scientists and engineers with examples of and insight into the best tool for solving problems involving uncertainty. Fuzzy Logic and Probability Applications: Bridging the Gap makes an honest effort to show both the shortcomings and benefits of each technique, and even demonstrates useful combinations of the two. It provides clear descriptions of both fuzzy logic and probability, as well as the theoretical background, examples.

Contributions to probability and statistics: applications and challenges - proceedings of the international statistics workshop

Название: Contributions to probability and statistics: applications and challenges - proceedings of the international statistics workshop
ISBN: 9812703918 ISBN-13(EAN): 9789812703910
Издательство: World Scientific Publishing
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Цена: 18406 р.
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Описание: Contributed by world renowned researchers, the book features a wide range of important topics in modern statistical theory and methodology, economics and finance, ecology, education, health and sports studies, and computer and IT-data mining. It is accessible to students and of interest to experts. Many of the contributions are concerned with theoretical innovations, but all have applications in view, and some contain illustrations of the applied methods or photos of historic mathematicians.

A few of the notable contributors are Ejaz Ahmed (Windsor), Joe Gani (ANU), Roger Gay (Monash), Atsuhiro Hayashi (NCUEE, Tokyo), Markus Hegland (ANU), Chris Heyde (ANU/Columbia), Jeff Hun er (Massey), Phil Lewis (Canberra), Heinz Neudecker (Amsterdam), Graham Pollard (Canberra), Simo Puntanen (Tampere), George Styan (McGill), and Goetz Trenkler (Dortmund).

Probability and statistics by example markov chains - a primer in random processes and their applications

Автор: Suhov, Yuri Kelbert, Mark
Название: Probability and statistics by example markov chains - a primer in random processes and their applications
ISBN: 0521612349 ISBN-13(EAN): 9780521612340
Издательство: Cambridge Academ
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Цена: 7246 р.
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Описание: Probability and Statistics are as much about intuition and problem solving as they are about theorem proving. Because of this, students can find it very difficult to make a successful transition from lectures to examinations to practice, since the problems involved can vary so much in nature. Since the subject is critical in many modern applications such as mathematical finance, quantitative management, telecommunications, signal processing, bioinformatics, as well as traditional ones such as insurance, social science andengineering, the authors have rectified deficiencies in traditional lecture-based methods by collecting together a wealth of exercises with complete solutions, adapted to needs and skills of students. Following on from the success of Probability and Statistics by Example: Basic Probability and Statistics, the authors here concentrate on random processes, particularly Markov processes, emphasising modelsrather than general constructions. Basic mathematical facts are supplied as and when they are needed andhistorical information is sprinkled throughout.

Probability with Statistical Applications

Автор: Schinazi
Название: Probability with Statistical Applications
ISBN: 081768249X ISBN-13(EAN): 9780817682491
Издательство: Springer
Цена: 6791 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This second edition of Probability With Statistical Applications offers a practical introduction to probability for undergraduates at all levels with different backgrounds and views towards applications. Calculus is a prerequisite for understanding the basic concepts, however the book is written with a sensitivity to students’ common difficulties with calculus that does not obscure the thorough treatment of the probability content. The first six chapters of this text neatly and concisely cover the material traditionally required by most undergraduate programs for a first course in probability.The comprehensive text includes a multitude of new examples and exercises, and careful revisions throughout. Particular attention is given to the expansion of the last three chapters of the book with the addition of two entirely new chapters on “Finding and Comparing Estimators” and “Multiple Linear Regression.” The classroom-tested material presented in this second edition textbook forms the basis for a second course introducing mathematical statistics.

Linear Algebra and Probability for Computer Science Applications

Автор: Davis Ernest
Название: Linear Algebra and Probability for Computer Science Applications
ISBN: 1466501553 ISBN-13(EAN): 9781466501553
Издательство: Taylor&Francis
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Цена: 5889 р.
Наличие на складе: Поставка под заказ.

Описание:

Based on the author's course at NYU, Linear Algebra and Probability for Computer Science Applications gives an introduction to two mathematical fields that are fundamental in many areas of computer science. The course and the text are addressed to students with a very weak mathematical background. Most of the chapters discuss relevant MATLAB(R) functions and features and give sample assignments in MATLAB; the author's website provides the MATLAB code from the book.

After an introductory chapter on MATLAB, the text is divided into two sections. The section on linear algebra gives an introduction to the theory of vectors, matrices, and linear transformations over the reals. It includes an extensive discussion on Gaussian elimination, geometric applications, and change of basis. It also introduces the issues of numerical stability and round-off error, the discrete Fourier transform, and singular value decomposition. The section on probability presents an introduction to the basic theory of probability and numerical random variables; later chapters discuss Markov models, Monte Carlo methods, information theory, and basic statistical techniques. The focus throughout is on topics and examples that are particularly relevant to computer science applications; for example, there is an extensive discussion on the use of hidden Markov models for tagging text and a discussion of the Zipf (inverse power law) distribution.

Examples and Programming Assignments
The examples and programming assignments focus on computer science applications. The applications covered are drawn from a range of computer science areas, including computer graphics, computer vision, robotics, natural language processing, web search, machine learning, statistical analysis, game playing, graph theory, scientific computing, decision theory, coding, cryptography, network analysis, data compression, and signal processing.

Homework Problems
Comprehensive problem sections include traditional calculation exercises, thought problems such as proofs, and programming assignments that involve creating MATLAB functions.


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