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An accessible introduction to probability, stochastic processes, and statistics for computer science and engineering applications This updated and revised edition of the popular classic relates fundamental concepts in probability and statistics to the computer sciences and engineering. The author uses Markov chains and other statistical tools to illustrate processes in re An accessible introduction to probability, stochastic processes, and statistics for computer science and engineering applications This updated and revised edition of the popular classic relates fundamental concepts in probability and statistics to the computer sciences and engineering. The author uses Markov chains and other statistical tools to illustrate processes in reliability of computer systems and networks, fault tolerance, and performance. This edition features an entirely new section on stochastic Petri nets?as well as new sections on system availability modeling, wireless system modeling, numerical solution techniques for Markov chains, and software reliability modeling, among other subjects. Extensive revisions take new developments in solution techniques and applications into account and bring this work totally up to date. It includes more than 200 worked examples and self-study exercises for each section. Probability and Statistics with Reliability, Queuing and Computer Science Applications, Second Edition offers a comprehensive introduction to probability, stochastic processes, and statistics for students of computer science, electrical and computer engineering, and applied mathematics. Its wealth of practical examples and up-to-date information makes it an excellent resource for practitioners as well. An Instructor's Manual presenting detailed solutions to all the problems in the book is available from the Wiley editorial department.


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An accessible introduction to probability, stochastic processes, and statistics for computer science and engineering applications This updated and revised edition of the popular classic relates fundamental concepts in probability and statistics to the computer sciences and engineering. The author uses Markov chains and other statistical tools to illustrate processes in re An accessible introduction to probability, stochastic processes, and statistics for computer science and engineering applications This updated and revised edition of the popular classic relates fundamental concepts in probability and statistics to the computer sciences and engineering. The author uses Markov chains and other statistical tools to illustrate processes in reliability of computer systems and networks, fault tolerance, and performance. This edition features an entirely new section on stochastic Petri nets?as well as new sections on system availability modeling, wireless system modeling, numerical solution techniques for Markov chains, and software reliability modeling, among other subjects. Extensive revisions take new developments in solution techniques and applications into account and bring this work totally up to date. It includes more than 200 worked examples and self-study exercises for each section. Probability and Statistics with Reliability, Queuing and Computer Science Applications, Second Edition offers a comprehensive introduction to probability, stochastic processes, and statistics for students of computer science, electrical and computer engineering, and applied mathematics. Its wealth of practical examples and up-to-date information makes it an excellent resource for practitioners as well. An Instructor's Manual presenting detailed solutions to all the problems in the book is available from the Wiley editorial department.

52 review for Probability and Statistics with Reliability, Queuing, and Computer Science Applications

  1. 5 out of 5

    Naveen

    very good book

  2. 5 out of 5

    Sourav

    This review has been hidden because it contains spoilers. To view it, click here. GOOD BOOK

  3. 4 out of 5

    Er Chandel

  4. 4 out of 5

    Manoj

  5. 4 out of 5

    Tanvir Hossain

  6. 5 out of 5

    Girish Shinde

  7. 4 out of 5

    Jbthescienceguy

  8. 4 out of 5

    Musle Shubhangi

  9. 5 out of 5

    Gurpreet

  10. 4 out of 5

    AKASH MISHRA

  11. 5 out of 5

    Rahul Chougule

  12. 5 out of 5

    Hoda Hossein

  13. 5 out of 5

    Koorosh Aslansefat

  14. 4 out of 5

    Shubham Gupta

  15. 4 out of 5

    Ruchi Anand

  16. 4 out of 5

    Ashwini Kadam

  17. 5 out of 5

    Ashwini Patil

  18. 5 out of 5

    Ansari Maq

  19. 4 out of 5

    Tanvir Hossain

  20. 4 out of 5

    Tajagn

  21. 5 out of 5

    Navneet Bhushan

    a textbook that I have been since my MSc days in late 1980s. stood the test of time. I keep on coming back to this from time to time. one of the classics !

  22. 5 out of 5

    Subhajit Das

  23. 5 out of 5

    Prabhat Thakur

  24. 5 out of 5

    Rakesh

  25. 5 out of 5

    Tejbir

  26. 4 out of 5

    Vinuth Challaiah

  27. 5 out of 5

    Mohammad

  28. 4 out of 5

    찬희 김

  29. 4 out of 5

    Mayank Agrawal

  30. 4 out of 5

    Deep Kumar

  31. 5 out of 5

    Purushottam

  32. 5 out of 5

    Ankur

  33. 5 out of 5

    Signore Hamza

  34. 4 out of 5

    Aanandhu Anbazhagan

  35. 4 out of 5

    Dhiraj Madan

  36. 5 out of 5

    Mai

  37. 4 out of 5

    Alpa

  38. 5 out of 5

    Sachin Patil

  39. 5 out of 5

    Sayak Ghosh

  40. 4 out of 5

    Nilima

  41. 4 out of 5

    Rashmi Ashtagi

  42. 4 out of 5

    Dhanashree

  43. 5 out of 5

    Sadhana Jha

  44. 5 out of 5

    Lipakshee Bisen

  45. 4 out of 5

    Dummymatter

  46. 4 out of 5

    Manan Saif

  47. 5 out of 5

    Sri Kumar

  48. 5 out of 5

    Deepak

  49. 5 out of 5

    Aditi

  50. 4 out of 5

    Sayali Narkhede

  51. 4 out of 5

    Pallavi Ghogare

  52. 4 out of 5

    Priyanka

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