Probability, Random Variables and Stochastic Processes with Errata Sheet, Papoulis; Pillai
Автор: Papoulis; Pillai Название: Probability, Random Variables And Stochastic Processes With Errata Sheet ISBN: 0071199810 ISBN-13(EAN): 9780071199810 Издательство: McGraw-Hill Цена: 6236 р. Наличие на складе: Поставка под заказ. Описание: Developing the subject of probability theory and stochastic processes as a deductive discipline, this work illustrates the theory with basic applications of engineering. It bridges the gap between concepts and applications by the use of a large number of examples. It is aimed at students in electrical engineering, math, and physics departments.
Описание: Presents equal coverage of probability, statistical inference, and stochastic processes useful for ambitious scientists and engineers at the undergraduate level. This work covers general applications in each area and serves as a stepping-stone to further, more advanced studies.
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.
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.
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: This handbook brings together a comprehensive collection of mathematical material in one location. It also offers a variety of new results interpreted in a form that is particularly useful to engineers, scientists, and applied mathematicians.
Описание: Provides introduction to probability theory for the junior-senior level course in electrical engineering. This book offers a logical organization which stresses fundamentals and the material relates to discrete-time random processes and sequences, and other topics in the general area of digital signal processing, such as the DT linear system.
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
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: Ordered Random Variables have attracted several authors. The basic building block of Ordered Random Variables is Order Statistics which has several applications in extreme value theory and ordered estimation. The general model for ordered random variables, known as Generalized Order Statistics has been introduced relatively recently by Kamps (1995).
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