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Probability and Stochastic Processes: A Friendly Introduction for Electrical and Computer Engineers, 2nd Edition
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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.


Specifications
  • Probability and Stochastic Processes: A Friendly Introduction for Electrical and Computer Engineers, 2nd Edition available on February 03 2018 from ECampus for 210.45
  • Probability and Stochastic Processes available on March 31 2017 from Buy for 192.13
  • ISBN bar code 9780471272144 ξ2 registered July 21 2013
  • ISBN bar code 9780471272144 ξ1 registered November 15 2014
  • ISBN bar code 9780471272144 ξ3 registered March 31 2017
  • Product category is Book

  • # 9780471272144N

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.)


References
    ^ Probability and Stochastic Processes : A Friendly Introduction for Electrical and Computer Engineers by Roy D. Yates and David J. Goodman (2004, Hardcover, Revised) (revised Feb 2018)
    ^ (2013). Probability and Stochastic Processes: A Friendly Introduction for Electrical and Computer Engineers, 2nd Edition ECampus. (revised Feb 2018)
    ^ Probability and Stochastic Processes Buy. (revised Mar 2017)

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