Probability, Statistics, and Random Processes for Engineers - Hardcover

Williams, Richard H.

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9780534368883: Probability, Statistics, and Random Processes for Engineers

Hardcover

ISBN 10: 0534368883 ISBN 13: 9780534368883

Publisher: Cengage Learning, 2002

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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.

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About the Author:

Richard H. Williams is Professor Emeritus at the University of New Mexico. Before beginning his teaching career, Professor Williams was a staff member for electronic test equipment at Sandia National Laboratories (1953-1959). He then worked as a research associate at the University of New Mexico (1959-1961). From 1961 to 1998, he was a faculty member in the Electrical and Computer Engineering (EECE) Department at the University of New Mexico. His teaching experience included Electronics, Biomedical Engineering, Digital Signal Processing, and Modern Manufacturing Methods. These subjects included probability and statistical methods.

Review:

"This text contains the absolutely necessary information on probability and stochastic processes that is needed in engineering. I found no redundancy in the chapters. It is carefully written in an easy to understand language that covers all the necessary topics for an introduction to this subject area."

"The text provides a smooth, orderly coverage of the subject material. The student can move with ease from one section to the next. There is enough relevant and practical examples in the text to illustrate the theory."

"It is well polished in presenting the abstract statistics topics."

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