Автор: Grimmett Название: Probability and Random Processes 4ed ISBN: 0198847599 ISBN-13(EAN): 9780198847595 Издательство: Oxford Academ Цена: 4602 р. Наличие на складе: Есть у поставщикаПоставка под заказ. Описание: Probability is a core topic in science and life. This successful self-contained volume leads the reader from the foundations of probability theory and random processes to advanced topics and it presents a mathematical treatment with many applications to real-life situations.
Автор: Gallager Название: Stochastic Processes ISBN: 1107039754 ISBN-13(EAN): 9781107039759 Издательство: Cambridge Academ Рейтинг: Цена: 4831 р. 6901.00-30% Наличие на складе: Есть (1 шт.) Описание: This definitive textbook provides a solid introduction to discrete and continuous stochastic processes, tackling a complex field in a way that instils a deep understanding of the relevant mathematical principles, and develops an intuitive grasp of the way these principles can be applied to modelling real-world systems. It includes a careful review of elementary probability and detailed coverage of Poisson, Gaussian and Markov processes with richly varied queuing applications. The theory and applications of inference, hypothesis testing, estimation, random walks, large deviations, martingales and investments are developed. Written by one of the world's leading information theorists, evolving over twenty years of graduate classroom teaching and enriched by over 300 exercises, this is an exceptional resource for anyone looking to develop their understanding of stochastic processes.
Описание: Treats advanced topics including spectral analysis of random processes and applications to signal detection, estimation, information theory and coding, reliability, and queuing theory. This book is intended as a review aid for professional license exams.
Описание: This detailed introduction to probability and stochastic processes shows how these subjects may be applied to computer performance modelling. Readers are assumed to be familiar with elementary linear algebra and calculus, including the concept of limit.
Описание: Covering very mathematical aspects of statistics in a student friendly way, the author includes worked examples and exercises in this textbook. Multivariate probability is usually a prerequisite for a course in stochastic processes.
Modified to conform to the current curriculum, "Schaum's Outline of Probability, Random Variables, and Random Processes" complements these courses in scope and sequence to help you understand its basic concepts. The book offers extra practice on topics such as bivariate random variables, joint distribution functions, moment generating functions, Poisson processes, Wiener processes, power spectral densities, and white noise. You'll also get coverage of linear systems to random outputs, Fourier series and Karhunen-Loeve expansions, Fourier transform of random processes, parameter estimation, Bayes' estimation, and mean square estimation. Appropriate for the following courses: Probability, Random Processes, Stochastic Processes, Probability and Random Variables, Introduction to Probability and Statistics
Features: 405 solved problems Additional material on distributions, the Markov Process, and Martingales Support for all the major textbooks for probability, variables, and processes courses
Topics include: Probability, Random Variables, Multiple Random Variables, Functions of Random Variables, Expectation, Limit Theorems, Random Processes, Analysis and Processing of Random Processes, Estimation Theory, Decision Theory, Queueing Theory
Автор: Yates, Roy Название: Probability and stochastic processes ISBN: 0471272140 ISBN-13(EAN): 9780471272144 Издательство: Wiley Рейтинг: Цена: 23442 р. Наличие на складе: Поставка под заказ.
Описание: Helps you grasp the concepts of probability and stochastic processes. This book presents concepts as a sequence of building blocks that are identified either as an axiom, definition, or theorem. It introduces stochastic processes, and includes central limit theorem approximations, laws of large numbers, and statistical inference.
Автор: Scott Miller Название: Probability and Random Processes, ISBN: 0123869811 ISBN-13(EAN): 9780123869814 Издательство: Elsevier Science Рейтинг: Цена: 7205 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Probability and Random Processes, Second Edition presents pertinent applications to signal processing and communications, two areas of key interest to students and professionals in today's booming communications industry. The book includes unique chapters on narrowband random processes and simulation techniques. It also describes applications in digital communications, information theory, coding theory, image processing, speech analysis, synthesis and recognition, and others. Exceptional exposition and numerous worked out problems make this book extremely readable and accessible. The authors connect the applications discussed in class to the textbook. The new edition contains more real world signal processing and communications applications. It introduces the reader to the basics of probability theory and explores topics ranging from random variables, distributions and density functions to operations on a single random variable. There are also discussions on pairs of random variables; multiple random variables; random sequences and series; random processes in linear systems; Markov processes; and power spectral density. This book is intended for practicing engineers and students in graduate-level courses in the topic.
Описание: This comprehensive textbook provides an introduction to statistical methods for graduate engineers offering thorough coverage of important probability-related topics to aid in product and system design, reliability engineering, quality control, and more.
Описание: Intended for a senior/graduate level course in probability, this title is useful for students in electrical engineering, math, and physics departments. It aims to develop the subject of probability theory and stochastic processes as a deductive discipline and to illustrate the theory with basic applications of engineering interest.
Описание: Together with the fundamentals of probability, random processes and statistical analysis, this insightful book also presents a broad range of advanced topics and applications. There is extensive coverage of Bayesian vs. frequentist statistics, time series and spectral representation, inequalities, bound and approximation, maximum-likelihood estimation and the expectation-maximization (EM) algorithm, geometric Brownian motion and It?? process. Applications such as hidden Markov models (HMM), the Viterbi, BCJR, and Baum?€“Welch algorithms, algorithms for machine learning, Wiener and Kalman filters, and queueing and loss networks are treated in detail. The book will be useful to students and researchers in such areas as communications, signal processing, networks, machine learning, bioinformatics, econometrics and mathematical finance. With a solutions manual, lecture slides, supplementary materials and MATLAB programs all available online, it is ideal for classroom teaching as well as a valuable reference for professionals.
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