Probability and stochastic processes: a friendly introduction for electrical and computer engineers

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John Wiley & Sons, 2005 - Mathematics - 519 pages
2 Reviews
This user-friendly resource will help you grasp the concepts of probability and stochastic processes, so you can apply them in professional engineering practice. The book presents concepts clearly as a sequence of building blocks that are identified either as an axiom, definition, or theorem. This approach provides a better understanding of the material, which can be used to solve practical problems.

Key Features:
  • The text follows a single model that begins with an experiment consisting of a procedure and observations.
  • The mathematics of discrete random variables appears separately from the mathematics of continuous random variables.
  • Stochastic processes are introduced in Chapter 6, immediately after the presentation of discrete and continuous random variables. Subsequent material, including central limit theorem approximations, laws of large numbers, and statistical inference, then use examples that reinforce stochastic process concepts.
  • An abundance of exercises are provided that help students learn how to put the theory to use.

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User Review - Flag as inappropriate

i do not understand how a school can use this book as a so called teaching aid. There are very few examples and no answers to the homework problems. There is a quiz for each section that actually has answers on the publishers website. If you need something to level a table or kill a bug, this is the book for you. If you need a book with many examples and these new things called "answers", then look elsewhere. also, it is too bad i had to give this book one star instead of the zero it deserved. 

User Review - Flag as inappropriate

Excellent Book


Experiments Models and Probabilities
Discrete Random Variables
Continuous Random Variables

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About the author (2005)

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.

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