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Basic Probability Theory with Applications, Mario Lefebvre



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Автор: Mario Lefebvre
Название:  Basic Probability Theory with Applications   (Марио Лефебвр: Основы теории вероятности и приложения)
Издательство: Springer
Классификация:
Вероятность и статистика
Технический дизайн

ISBN: 0387749942
ISBN-13(EAN): 9780387749945
ISBN: 0-387-74994-2
ISBN-13(EAN): 978-0-387-74994-5
Обложка/Формат: Hardback
Страницы: 348
Вес: 0.74 кг.
Дата издания: 2009
Серия: Springer Undergraduate Texts in Mathematics and Technology
Язык: English
Издание: 2009 ed.
Иллюстрации: 5 tables, black and white; 50 illustrations, black and white; xvi, 340 p. 50 illus.
Размер: 23.62 x 18.29 x 2.29 cm
Читательская аудитория: Undergraduate
Ссылка на Издательство: Link
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Поставляется из: Германии
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.

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 with Statistical Applications

Автор: Schinazi
Название: Probability with Statistical Applications
ISBN: 081768249X ISBN-13(EAN): 9780817682491
Издательство: Springer
Цена: 6791 р.
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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.

The Cambridge Dictionary of Probability and its Applications

Автор: Stirzaker
Название: The Cambridge Dictionary of Probability and its Applications
ISBN: 1107075165 ISBN-13(EAN): 9781107075160
Издательство: Cambridge Academ
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Цена: 14955 р.
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Описание: Probability comes of age with this, the first dictionary of probability and its applications in English, which supplies a guide to the concepts and vocabulary of this rapidly expanding field. Besides the basic theory of probability and random processes, applications covered here include financial and insurance mathematics, operations research (including queueing, reliability, and inventories), decision and game theory, optimization, time series, networks, and communication theory, as well as classic problems and paradoxes. The dictionary is reliable, stable, concise, and cohesive. Each entry provides a rigorous definition, a sketch of the context, and a reference pointing the reader to the wider literature. Judicious use of figures makes complex concepts easier to follow without oversimplifying. As the only dictionary on the market, this will be a guiding reference for all those working in, or learning, probability together with its applications.

Introduction to Probability with Statistical Applications

Автор: Schay G.
Название: Introduction to Probability with Statistical Applications
ISBN: 3319306189 ISBN-13(EAN): 9783319306186
Издательство: Springer
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Цена: 7000 р.
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Описание: Now inits second edition, this textbook serves as an introduction toprobability and statistics for non-mathematics majors who do not need theexhaustive detail and mathematical depth provided in more comprehensivetreatments of the subject. The presentation covers the mathematical laws ofrandom phenomena, including discrete and continuous random variables,expectation and variance, and common probability distributions such as thebinomial, Poisson, and normal distributions. More classical examples such asMontmort's problem, the ballot problem, and Bertrand’s paradox are nowincluded, along with applications such as the Maxwell-Boltzmann andBose-Einstein distributions in physics.Keyfeatures in new edition:* 35 newexercises* Expanded sectionon the algebra of sets *Expanded chapters on probabilities to include more classical examples* Newsection on regression* Onlineinstructors' manual containing solutions to all exercises

Probability and Statistics with Reliability, Queuing, and Computer Science Applications, 2nd Edition

Автор: Kishor Shridharbhai Trivedi
Название: Probability and Statistics with Reliability, Queuing, and Computer Science Applications, 2nd Edition
ISBN: 0471333417 ISBN-13(EAN): 9780471333418
Издательство: Wiley
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Цена: 17441 р.
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Описание: An accessible introduction to probability, stochastic processes, and statistics for computer science and engineering applications This updated and revised edition of the popular classic relates fundamental concepts in probability and statistics to the computer sciences and engineering. The author uses Markov chains and other statistical tools to illustrate processes in reliability of computer systems and networks, fault tolerance, and performance. This edition features an entirely new section on stochastic Petri nets?as well as new sections on system availability modeling, wireless system modeling, numerical solution techniques for Markov chains, and software reliability modeling, among other subjects. Extensive revisions take new developments in solution techniques and applications into account and bring this work totally up to date. It includes more than 200 worked examples and self-study exercises for each section. Probability and Statistics with Reliability, Queuing and Computer Science Applications, Second Edition offers a comprehensive introduction to probability, stochastic processes, and statistics for students of computer science, electrical and computer engineering, and applied mathematics. Its wealth of practical examples and up-to-date information makes it an excellent resource for practitioners as well.

Statistics and Probability with Applications for Engineers a

Автор: Gupta Bhisham C
Название: Statistics and Probability with Applications for Engineers a
ISBN: 1118464044 ISBN-13(EAN): 9781118464045
Издательство: Wiley
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Цена: 13283 р.
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Описание: This introductory text helps readers with no prior exposure to probability and statistics become proficient in various statistical techniques. Focusing on both descriptive and inferential statistics, the book begins with descriptive statistics before introducing the fundamentals of probability theory underlying many of the techniques.


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