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Probability and stochastic processes : a friendly introduction for electrical and computer engineers / Roy D. Yates, Rutgers, the State University of New Jersey, David J. Goodman, New York University.

By: Contributor(s): Material type: TextTextPublisher: Hoboken, NJ : John Wiley & Sons, 2014Edition: Third editionDescription: xvi, 496 pages : illustrations ; 24 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9781118324561 (paperback)
Subject(s): Additional physical formats: Online version:: Probability and stochastic processesDDC classification:
  • 519.2 23
LOC classification:
  • QA273 YAT 2014
Other classification:
  • MAT029000
Contents:
Machine generated contents note: Chapter 1. Experiments, Models, and Probabilities Chapter 2. Discrete Random Variables Chapter 3. Continuous Random Variables Chapter 4. Pairs of Random Variables Chapter 5. Random Vectors Chapter 6. Sums of Random Variables Chapter 7. Parameter Estimation Using the Sample Mean Chapter 8. Hypothesis Testing Chapter 9. Estimation of a Random Variable Chapter 10. Stochastic Processes Chapter 11. Random Signal Processing Chapter 12. Markov Chains .
Summary: "In Probability and Stochastic Processes: A Friendly Introduction for Electrical and Computer Engineers, readers are able to grasp the concepts of probability and stochastic processes, and apply these in professional engineering practice. The 3rd edition also includes quiz solutions within the appendix of the text. The resource presents concepts clearly as a sequence of building blocks identified as an axiom, definition or theorem. This approach allows for a better understanding of the material, which can be utilized in solving practical problems"-- Provided by publisher.
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Holdings
Item type Current library Collection Call number Copy number Status Date due Barcode
Books in General collection Books in General collection Mzuzu University Library and Learning Resources Centre Non-fiction QA 273 YAT 2014 (Browse shelf(Opens below)) 13262 Available MzULM-013262
Books in General collection Books in General collection Mzuzu University Library and Learning Resources Centre Non-fiction QA 273 YAT 2014 (Browse shelf(Opens below)) 13263 Available MzULM-013263
Books in General collection Books in General collection Mzuzu University Library and Learning Resources Centre Non-fiction QA 273 YAT 2014 (Browse shelf(Opens below)) 13264 Available MzULM-013264
Books in General collection Books in General collection Mzuzu University Library and Learning Resources Centre Non-fiction QA 273 YAT 2014 (Browse shelf(Opens below)) 13265 Available MzULM-013265

Includes bibliographical references (pages 489-490) and index.

Machine generated contents note: Chapter 1. Experiments, Models, and Probabilities Chapter 2. Discrete Random Variables Chapter 3. Continuous Random Variables Chapter 4. Pairs of Random Variables Chapter 5. Random Vectors Chapter 6. Sums of Random Variables Chapter 7. Parameter Estimation Using the Sample Mean Chapter 8. Hypothesis Testing Chapter 9. Estimation of a Random Variable Chapter 10. Stochastic Processes Chapter 11. Random Signal Processing Chapter 12. Markov Chains .

"In Probability and Stochastic Processes: A Friendly Introduction for Electrical and Computer Engineers, readers are able to grasp the concepts of probability and stochastic processes, and apply these in professional engineering practice. The 3rd edition also includes quiz solutions within the appendix of the text. The resource presents concepts clearly as a sequence of building blocks identified as an axiom, definition or theorem. This approach allows for a better understanding of the material, which can be utilized in solving practical problems"-- Provided by publisher.

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