Автор: Ross Sheldon Название: First Course in Probability, Global Edition ISBN: 1292269200 ISBN-13(EAN): 9781292269207 Издательство: Неизвестно Цена: 8248 р. Наличие на складе: Есть у поставщикаПоставка под заказ.
Старое издание
Автор: Sheldon Ross Название: First Course in Probability, A: United States Edition ISBN: 0131856626 ISBN-13(EAN): 9780131856622 Издательство: Pearson Education Цена: 3156 р. Наличие на складе: Невозможна поставка.
Автор: Sheldon Ross Название: First Course in Probability, A: International Edition ISBN: 0132018179 ISBN-13(EAN): 9780132018173 Издательство: Pearson Education Цена: 3366 р. Наличие на складе: Невозможна поставка. Описание: Written as an introduction to the mathematical theory of probability for students in mathematics, engineering and the sciences, who possess the prerequisite knowledge of elementary calculus. This book is useful for upper-level or undergraduate or graduate level students, in the fields of math, science, engineering, and business .
Автор: Sheldon Ross Название: First Course in Probability, A: International Edition 8th Edition - paper ISBN: 0136079091 ISBN-13(EAN): 9780136079095 Издательство: Pearson Education Цена: 10658 р. Наличие на складе: Поставка под заказ. Описание: A First Course in Probability, Eighth Edition, features clear and intuitive explanations of the mathematics of probability theory, outstanding problem sets, and a
variety of diverse examples and applications. This book is ideal for an upper-level undergraduate or graduate level introduction to probability for math, science, engineering and business
students. It assumes a background in elementary calculus.
Название: A First Course in Probability ISBN: 0321866819 ISBN-13(EAN): 9780321866813 Издательство: Pearson Education Цена: 29732 р. Наличие на складе: Поставка под заказ.
Автор: Kai Lai Chung Название: A Course in Probability Theory, Revised Edition, ISBN: 0121741516 ISBN-13(EAN): 9780121741518 Издательство: Elsevier Science Рейтинг: Цена: 6634 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book is designed for undergraduate programs and students and can also be used as a first-year graduate text in probability. It offers a broad perspective, building on the synopsis of measure and integration offered in Chapter two.
Автор: Rabi Bhattacharya; Edward C. Waymire Название: A Basic Course in Probability Theory ISBN: 3319479725 ISBN-13(EAN): 9783319479729 Издательство: Springer Рейтинг: Цена: 5609 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This text develops the necessary background in probability theory underlying diverse treatments of stochastic processes and their wide-ranging applications.
Автор: Rao, B.l.s.prakasa Название: First course in probability and statistics ISBN: 9812836543 ISBN-13(EAN): 9789812836540 Издательство: World Scientific Publishing Рейтинг: Цена: 4857 р. Наличие на складе: Поставка под заказ.
Описание: Explanation of the basic concepts and methods of statistics requires a reasonably good mathematical background. Suitable for first-year graduate students in statistics, bio-statistics, social sciences and business administration programs, this book provides an exposition of the theory of probability along with applications in statistics.
Автор: Dasgupta Название: Fundamentals of probability a first course ISBN: 1441957790 ISBN-13(EAN): 9781441957795 Издательство: Springer Рейтинг: Цена: 8410 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book encompasses all standard topics in introductory probability theory, along with a significant amount of optional material. The emphasis is on a lucid and accessible writing style, mixed with a large number of interesting examples of a diverse nature.
Автор: Modica Giuseppe Название: First Course in Probability and Markov Chains ISBN: 1119944872 ISBN-13(EAN): 9781119944874 Издательство: Wiley Рейтинг: Цена: 6401 р. Наличие на складе: Поставка под заказ.
Описание: Provides an introduction to basic structures of probability with a view towards applications in information technology A First Course in Probability and Markov Chains presents an introduction to the basic elements in probability and focuses on two main areas.
Автор: Leadbetter Название: A Basic Course in Measure and Probability ISBN: 1107652529 ISBN-13(EAN): 9781107652521 Издательство: Cambridge Academ Рейтинг: Цена: 3954 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Originating from the authors' own graduate course at the University of North Carolina, this material has been thoroughly tried and tested over many years, making the book perfect for a two-term course or for self-study. It provides a concise introduction that covers all of the measure theory and probability most useful for statisticians, including Lebesgue integration, limit theorems in probability, martingales, and some theory of stochastic processes. Readers can test their understanding of the material through the 300 exercises provided. The book is especially useful for graduate students in statistics and related fields of application (biostatistics, econometrics, finance, meteorology, machine learning, and so on) who want to shore up their mathematical foundation. The authors establish common ground for students of varied interests which will serve as a firm 'take-off point' for them as they specialize in areas that exploit mathematical machinery.
Автор: Gut Название: Probability: A Graduate Course ISBN: 0387228330 ISBN-13(EAN): 9780387228334 Издательство: Springer Рейтинг: Цена: 6260 р. Наличие на складе: Поставка под заказ.
Описание: "I know it's trivial, but I have forgotten why". This is a slightly exaggerated characterization of the unfortunate attitude of many mathematicians toward the surrounding world. The point of departure of this book is the opposite. This textbook on the theory of probability is aimed at graduate students, with the ideology that rather than being a purely mathematical discipline, probability theory is an intimate companion of statistics. The book starts with the basic tools, and goes on to chapters on inequalities, characteristic functions, convergence, followed by the three main subjects, the law of large numbers, the central limit theorem, and the law of the iterated logarithm. After a discussion of generalizations and extensions, the book concludes with an extensive chapter on martingales. The main feature of this book is the combination of rigor and detail. Instead of being sketchy and leaving lots of technicalities to be filled in by the reader or as easy exercises, a more solid foundation is obtained by providing more of those not so trivial matters and by integrating some of those not so simple exercises and problems into the body of text. Some results have been given more than one proof in order to illustrate the pros and cons of different approaches. On occasion we invite the reader to minor extensions, for which the proofs reduce to minor modifications of existing ones, with the aim of creating an atmosphere of a dialogue with the reader (instead of the more typical monologue), in order to put the reader in the position to approach any other text for which a solid probabilistic foundation is necessary. From the reviews:"This is more substantial than the usual graduate course in probability; it contains many useful and interesting details that previously were scattered around the literature and gives clear evidence that the writer has a great deal of experience in the area."Short Book Reviews of the International Statistical Institute, December 2005"...This book is a readable, comprehensive, and up-to-date introductory textbook to probability theory with emphasis on limit theorems for sums and extremes of random variables. The purchase is worth its price."Journal of the American Statistical Association, June 2006
Автор: Koralov Название: Theory of Probability and Random Processes ISBN: 3540254846 ISBN-13(EAN): 9783540254843 Издательство: Springer Рейтинг: Цена: 5142 р. 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.
Автор: Durrett, Rick Название: Elementary probability for applications ISBN: 0521867568 ISBN-13(EAN): 9780521867566 Издательство: Cambridge Academ Рейтинг: Цена: 6556 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This clear and lively introduction to probability theory concentrates on the results that are the most useful for applications, including combinatorial probability and Markov chains. Concise and focused, it is designed for a one-semester introductory course in probability for students who have some familiarity with basic calculus. Reflecting the author's philosophy that the best way to learn probability is to see it in action, there are more than 350 problems and 200 examples. The examples contain all the old standards such as the birthday problem and Monty Hall, but also include a number of applications not found in other books, from areas as broad ranging as genetics, sports, finance, and inventory management.
Автор: Gut Название: An Intermediate Course in Probability ISBN: 0387945075 ISBN-13(EAN): 9780387945071 Издательство: Springer Цена: 6540 р. Наличие на складе: Поставка под заказ.
Описание: The purpose of this book is to provide the reader with a solid background and understanding of the basic results and methods in probability theory before entering into more advanced courses. The first six chapters focus on the following central areas of probability: multivariate random variables, conditioning, transforms, order variables, the multivariate normal distribution, and convergence. A final chapter is devoted to the Poisson process as a means both to introduce stochastic processes and to apply many of the techniques introduced earlier in the text.Students are assumed to have taken a first course in probability, though no knowledge of measure theory is assumed. Throughout, the presentation is thorough and includes many examples that are discussed in detail. Thus, students considering more advanced research in probability will benefit from this wide-ranging survey of the subject that provides them with a foretaste of the subject's many treasures.
Автор: Bhattacharya Название: A Basic Course in Probability Theory ISBN: 0387719385 ISBN-13(EAN): 9780387719382 Издательство: Springer Цена: 3735 р. Наличие на складе: Поставка под заказ.
Описание: Introductory Probability is a pleasure to read and provides a fine answer to the question: How do you construct Brownian motion from scratch, given that you are a competent analyst?There are at least two ways to develop probability theory. The more familiar path is to treat it as its own discipline, and work from intuitive examples such as coin flips and conundrums such as the Monty Hall problem. An alternative is to first develop measure theory and analysis, and then add interpretation. Bhattacharya and Waymire take the second path. To illustrate the authors' frame of reference, consider the two definitions they give of conditional expectation. The first is as a projection of L2 spaces. The authors rely on the reader to be familiar with Hilbert space operators and at a glance, the connection to probability may not be not apparent. Subsequently, there is a discusssion of Bayes's rule and other relevant probabilistic concepts that lead to a definition of conditional expectation as an adjustment of random outcomes from a finer to a coarser information set.
Автор: Gut Название: Probability: A Graduate Course ISBN: 1461447070 ISBN-13(EAN): 9781461447078 Издательство: Springer Рейтинг: Цена: 7947 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book covers inequalities, characteristic functions and convergence, the law of large numbers, the central limit theorem and the law of the iterated logarithm. This revised edition updates core material, and offers scores of new problems and exercises.
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