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Probability and Stochastic Processes: A Friendly Introduction for Electrical and Computer Engineers

 
 
 
 
Probability and Stochastic Processes: A Friendly Introduction for Electrical and Computer Engineers
Author: Roy D. Yates - David J. Goodman
ISBN 13: 9780471272144
ISBN 10: 471272140
Edition: 2
Publisher: Wiley
Publication Date: 2004-05-20
Format: Hardcover
Pages: 544
List Price: N/A
 
 

Clear, engaging, and always friendly

Maintaining their highly popular, user-friendly approach, Roy Yates and David Goodman demystify probability unlike any other text today. The authors help you develop an intuitive grasp of the principles of probability and stochastic processes, allowing you to successfully solve basic engineering problems using these principles... with a smile.

The authors present the principles of probability and stochastic processes as a logical sequence of building blocks that are clearly identified as an axiom, definition, or theorem. For each new principle, examples illustrate the application of the mathematics to engineering problems. You’ll also have many opportunities for practice.

Now revised, this Second Edition features a new chapter on random vectors, expanded coverage of the applications of probability, a streamlined presentation of Markov chains and elementary queuing theory, and a tutorial in each chapter on using MATLAB.

With this text, you’ll be able to:

  • Develop an intuitive understanding of the concepts.

  • Follow a single clear model that begins with an experiment consisting of a procedure and observations.

  • Put the theory into practice with an extensive collection of exercises (examples, quizzes, and homework problems).

  • Gain hands-on experience with MATLAB applications.

  • Master basic principles without the confusion of learning two different ways of calculating probabilities and averages at the same time. (Discrete and continuous random variables are treated separately.)

Booknews

A text on concepts of probability and stochastic processes, presented as a series of building blocks clearly identified as either an axiom, definition, or theorem. Treatment follows a consistent model that begins with an experiment consisting of a procedure and observations, with separate chapters on discrete and continuous random variables. Includes worked examples, exercises, quizes, and solutions. Problems are graded. For use in a one-semester undergraduate course. Annotation c. by Book News, Inc., Portland, Or.