Probability and Stochastic Processes
A Friendly Introduction for Electrical and Computer Engineers
1st Edition
Published on 13. August 1998
Book
Hardback
XVIII, 454 pages
978-0-471-17837-8 (ISBN)
Description
Applications of probability theory appear throughout modern society, such as state lotteries, weather forecasts, insurance prices. Professionals use probability theory as an astute tool for decision making. Electrical and computer engineers use probability to design computer networks, test integrated circuits, and evaluate communications systems. This book is written to help engineers clearly grasp the concepts of probability and stochastic processes. It presents the theory of probability and stochastic process as a sequence of building blocks that are clearly identified. Each block is either an axiom, a definition, or a theorem. Intuitive explanations of new concepts are interspersed with mathematical statements.
More details
Edition
1., Aufl.
Language
English
Place of publication
New York
United States
Publishing group
John Wiley and Sons Ltd
Target group
College/higher education
Professional and scholarly
Illustrations
Illustrations
Dimensions
Height: 24.2 cm
Width: 19.5 cm
Weight
850 gr
ISBN-13
978-0-471-17837-8 (9780471178378)
Schweitzer Classification
Other editions
New editions
Roy D. Yates | David Goodman
Probability and Stochastic Processes
A Friendly Introduction for Electrical and Computer Engineers
Book
05/2004
2nd Edition
Wiley
€305.00
Article exhausted; check for reprint
Persons
Dr. Roy Yates received the B.S.E. degree in 1983 from Princeton University, and the S.M. and Ph.D. degrees in 1986 and 1990 from M.I.T., all in Electrical Engineering. Since 1990, he has been with the Wireless Information Networks Laboratory (WINLAB) and the ECE department at Rutgers, University. He is currently an associate professor. David J. Goodman is Director of WINLAB and a Professor of Electrical and Computer Engineering at Rutgers University. Before coming to Rutgers, he enjoyed a twenty year research career at Bell Labs where he was a Department Head in Communications Systems Research. He has made fundamental contributions to digital signal processing, speech coding, and wireless information networks.
Content
Experiments, Models, and Probabilities. Discrete Random Variables. Multiple Discrete Random Variables. Continuous Random Variables. Multiple Continuous Random Variables. Stochastic Processes. Sums of Random Variables. The Sample Mean. Statistical Inference. Random Signal Processing. Renewal Processes and Markov Chains. Appendices. References. Index.