јвтор: Hsu, Hwei Ќазвание: Schaum`s outline of probability, random variables, and random processes ISBN: 0070306443 ISBN-13(EAN): 9780070306448 »здательство: McGraw-Hill ÷ена: 1154 р. Ќаличие на складе: Ќевозможна поставка. ќписание: 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.
ќписание: 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.
ќписание: 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.
ќписание: 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.
јвтор: G P Beaumont Ќазвание: Probability and Random Variables, ISBN: 1904275192 ISBN-13(EAN): 9781904275190 »здательство: Elsevier Science –ейтинг: ÷ена: 5847 р. Ќаличие на складе: ѕоставка под заказ.
ќписание: This undergraduate text distils the wisdom of an experienced teacher and yields, to the mutual advantage of students and their instructors, a sound and stimulating introduction to probability theory. The accent is on its essential role in statistical theory and practice, built on the use of illustrative examples and the solution of problems from typical examination papers. Mathematically-friendly for first and second year undergraduate students, the book is also a reference source for workers in a wide range of disciplines who are aware that even the simpler aspects of probability theory are not simple. Provides a sound and stimulating introduction to probability theoryPlaces emphasis on the role of probability theory in statistical theory and practice, built on the use of illustrative examples and the solution of problems from typical examination papers
јвтор: Koralov Ќазвание: Theory of Probability and Random Processes ISBN: 3540254846 ISBN-13(EAN): 9783540254843 »здательство: Springer –ейтинг: ÷ена: 6269 р. Ќаличие на складе: ≈сть у поставщика ѕоставка под заказ.
ќписание: 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.
ќписание: Complex Dynamics: Advanced System Dynamics in Complex Variables is a graduate-level monographic textbook. It is designed as a comprehensive introduction into methods and techniques of modern complex-valued nonlinear dynamics with its various physical and non-physical applications. This book is a complex-valued continuation of our previous two monographs, Geometrical Dynamics of Complex Systems and High-Dimensional Chaotic and Attractor Systems, Volumes 31 and 32 in the Springer book series Intelligent Systems, Control and Automation: Science and Engineering, where we had developed the most powerful mathematical machinery to deal with high-dimensional nonlinear, attractor and chaotic real-valued dynamics. The present monograph is devoted to understanding, prediction and control of both low- and high-dimensional, as well as both continuous- and discrete-time, nonlinear systems dynamics in complex variables. Its objective is to provide a serious reader with a serious scientific tool that will enable him/her to actually perform a competitive research in modern complex-valued nonlinear dynamics.This book has seven Chapters. The first, introductory Chapter explains вАШin plain EnglishвАЩ the objective of the book and provides the preliminaries in complex numbers and variables; it also gives a soft introduction to quantum dynamics. The second Chapter develops low-dimensional dynamics in the complex plane, theoretical and computational, continuous- and discrete-time. The third Chapter presents a modern introduction to quantum dynamics, mainly following Dirac's notation. The fourth Chapter develops geometrical machinery of complex manifolds, essential for the further text. The fifth Chapter develops high-dimensional complex continuous dynamics, which takes place on complex manifolds. The sixth Chapter develops the formalism of complex path integrals, which extends the continuous dynamics to the general high-dimensional dynamics, which can be both discrete and stochastic. In the last, seventh Chapter, all previously developed methods are employed to present the вАШHoly GrailвАЩ of modern physical and cosmological science, the search for the вАШtheory of everythingвАЩ and the вАШtrueвАЩ cosmological dynamics.
ќписание: This book presents a clear, systematic treatment of convergence theorems of set-valued random variables (random sets) and fuzzy set-valued random variables (random fuzzy sets). Topics such as strong laws of large numbers and central limit theorems, including new results in connection with the theory of empirical processes are covered. The author's own recent developments on martingale convergence theorems and their applications to data processing are also included. The mathematical foundations along with a clear explanation such as H√ґlmander's embedding theorem, notions of various convergence of sets and fuzzy sets, Aumann integrals, conditional expectations, selection theorems, measurability and integrability arguments for both set-valued and fuzzy set-valued random variables and newly obtained optimizations techniques based on invariant properties are also given.
јвтор: Bubnicki Z. Ќазвание: Uncertain Logics, Variables and Systems ISBN: 3540432353 ISBN-13(EAN): 9783540432357 »здательство: Springer –ейтинг: ÷ена: 9926 р. Ќаличие на складе: ≈сть у поставщика ѕоставка под заказ.
ќписание: Uncertain Logics and Variable.- Analysis and Decision Making for Static Plants.- Relational Systems.- Systems with Logical Knowledge Representaion.- Dynamical Systems.- Comparison, Analogies and Generalization.- Special and Related Problems.
ќписание: 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.
ќписание: This tract develops the purely mathematical side of the theory of probability, without reference to any applications. When originally published, it was one of the earliest works in the field built on the axiomatic foundations introduced by A. Kolmogoroff in his book Grundbegriffe der Wahrscheinlichkeitsrechnung, thus treating the subject as a branch of the theory of completely additive set functions. The author restricts himself to a consideration of probability distributions in spaces of a finite number of dimensions, and to problems connected with the Central Limit Theorem and some of its generalizations and modifications. In this edition the chapter on LiapounoffТs theorem has been partly rewritten, and now includes a proof of the important inequality due to Berry and Esseen. The terminology has been modernized, and several minor changes have been made.