Random Processes for Engineers

Author: Bruce Hajek
Publisher: Cambridge University Press
ISBN: 1107100127
Format: PDF
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An engaging introduction to the critical tools needed to design and evaluate engineering systems operating in uncertain environments.

Probability Statistics and Random Processes for Engineers

Author: Richard H. Williams
Publisher: Cl-Engineering
ISBN: 9780534368883
Format: PDF, Docs
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This book focuses on teaching probabilistic and statistical methods to upper-division electrical and computer engineering (EECE) students. It is the result of over 20 years of teaching this course in the rapidly changing environment of EECE education. In addition to being a readable and focused book for EECE students, the book is a teachable book for EECE instructors with a variety of technical backgrounds. The first part of the book, Chapters 1-3, contains fundamental probability material. The second part, Chapters 4-7, presents applications and extensions based upon the first three chapters. The four application chapters may be studied in any order, as they do not depend on each other in any essential way.

Probability and Random Processes for Engineers

Author: J. Ravichandran
ISBN: 9789384588007
Format: PDF, ePub, Mobi
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Probability and Random Processes for Engineers is a textbook for courses related to probability and random processes for engineering students at both graduate and post-graduate levels. The book contains nine chapters that are well organized and presented in order. In addition, there are appendices that present some of the derivations for the results used in the text. The text explains concepts with suitable examples and graphic representations. Since the concepts of random processes are built upon the concepts of probability and statistics, one chapter is dedicated to probability and statistics. Key features: Nine well organised chapters. Full coverage of important probability concepts and distributions. Full coverage of multivariate normal distribution. Full coverage of concepts of random processes. Full coverage of stationarity of random processes. Full coverage of autocorrelation and its properties. Full coverage of standard distribution-based special processes. Full coverage of the Markov process and Marko chains. Explanation with suitable examples and graphic representations. Solved problems with illustrations to aid understanding. More than 200 problems in total. 100 solved examples. 100 exercise problems with answers.

Probability Statistics and Random Processes For Electrical Engineering

Author: Alberto Leon-Garcia
Publisher: Pearson Higher Ed
ISBN: 0133002578
Format: PDF, Mobi
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This is the eBook of the printed book and may not include any media, website access codes, or print supplements that may come packaged with the bound book. This is the standard textbook for courses on probability and statistics, not substantially updated. While helping students to develop their problem-solving skills, the author motivates students with practical applications from various areas of ECE that demonstrate the relevance of probability theory to engineering practice. Included are chapter overviews, summaries, checklists of important terms, annotated references, and a wide selection of fully worked-out real-world examples. In this edition, the Computer Methods sections have been updated and substantially enhanced and new problems have been added.

Modeling random processes for engineers and managers

Author: James J. Solberg
Publisher: Wiley
Format: PDF, Docs
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By reducing mathematical detail and focusing on real-world applications, this book provides engineers with an easy-to-understand overview of stochastic modeling. An entire chapter is included on how to set up the problem, and then another complete chapter presents examples of applications before doing any math. A previously unpublished computational method for solving equations related to Markov processes is added. The book shows how to add costs or revenues to the basic probability structures without much additional effort. In addition, numerous examples are included that show how the theory can be used. Engineers will also find explanations on how to formulate word problems into the models that the math worked on.

Applied Probability and Stochastic Processes

Author: Michel K. Ochi
Publisher: Wiley-Interscience
Format: PDF, ePub
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This introduction to modern concepts of applied stochastic processes is written for a broad range of applications in diverse areas of engineering and the physical sciences (unlike other books, which are written primarily for communications or electrical engineering). Emphasis is on clarifying the basic principles supporting current prediction techniques. The first eight chapters present the probability theory relevant to analysis of stochastic processes. The following nine chapters discuss principles, advanced techniques (including the procedures of spectral analysis and the development of the probability density function) and applications. Also features material found in the recent literature such as higher-order spectral analysis, the joint probability distribution of amplitudes and periods and non-Gaussian random processes. Includes numerous illustrative examples.

Probability and random processes for engineers and scientists

Author: A. Bruce Clarke
Publisher: John Wiley & Sons
Format: PDF, ePub, Docs
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Sample spaces; Combinatorial probability; Random variables; Sets of random variables and random sequences; Expectation; Special distributions; Stochastic processes; Discrete parameter markov processes: the finite, irreducible case; Algebraic methods useful in the study of markov chains; Nonirreducible or nonfinite markov chains; Continuous parameter markov chains; Limiting distributions of continuous parameter markov processes; Introduction to queueing theory; Further properties of stochastic processes.