Description

Book Synopsis
The theory of probability has important applications for computer and electrical engineers as a tool to explain, model, analyse and design the technology they develop. Gubner presents the fundamentals of probability, then progresses to more complicated topics. Suitable for advanced undergraduates, graduates and as a reference for researchers.

Trade Review
'… stands alone as a textbook that encourages readers to work through and obtain working knowledge of probability and random processes.' IEEE Software

Table of Contents
Preface; 1. Introduction to probability; 2. Introduction to discrete random variables; 3. More about discrete random variables; 4. Continuous random variables; 5. Cumulative distribution functions and their applications; 6. Statistics; 7. Bivariate random variables; 8. Introduction to random vectors; 9. Gaussian random vectors; 10. Introduction to random processes; 11. Advanced concepts in random processes; 12. Introduction to Markov chains; 13. Mean convergence and applications; 14. Other modes of convergence; 15. Self similarity and long-range dependence; Bibliography; Index.

Probability and Random Processes for Electrical and Computer Engineers

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    A Hardback by John A. Gubner

    15 in stock


      View other formats and editions of Probability and Random Processes for Electrical and Computer Engineers by John A. Gubner

      Publisher: Cambridge University Press
      Publication Date: 6/1/2006 12:00:00 AM
      ISBN13: 9780521864701, 978-0521864701
      ISBN10: 0521864704

      Description

      Book Synopsis
      The theory of probability has important applications for computer and electrical engineers as a tool to explain, model, analyse and design the technology they develop. Gubner presents the fundamentals of probability, then progresses to more complicated topics. Suitable for advanced undergraduates, graduates and as a reference for researchers.

      Trade Review
      '… stands alone as a textbook that encourages readers to work through and obtain working knowledge of probability and random processes.' IEEE Software

      Table of Contents
      Preface; 1. Introduction to probability; 2. Introduction to discrete random variables; 3. More about discrete random variables; 4. Continuous random variables; 5. Cumulative distribution functions and their applications; 6. Statistics; 7. Bivariate random variables; 8. Introduction to random vectors; 9. Gaussian random vectors; 10. Introduction to random processes; 11. Advanced concepts in random processes; 12. Introduction to Markov chains; 13. Mean convergence and applications; 14. Other modes of convergence; 15. Self similarity and long-range dependence; Bibliography; Index.

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