Foundational Issues: Probability and Reliability

  • Nozer D. Singpurwalla
  • Simon P. Wilson
Part of the Springer Series in Statistics book series (SSS)


In Chapter 1 we have drawn attention to some scenarios in software engineering where uncertainty is encountered, and have discussed the need for its quantification. We mentioned that there are many approaches for quantifying uncertainty, but that in our view, probability is the most comprehensive one. We have also discussed the notions of random quantities, random variables, random events, and the importance of the background information H. The role of a reference time τ at which probabilities were assessed was mentioned, and finally, it was argued that for any random quantity ε, a subjective interpretation of its probability Sτ(ε | H) was an appropriate paradigm for dealing with the kind of problems that we are involved with here.


Covariance Convolution Stake 


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Copyright information

© Springer Science+Business Media New York 1999

Authors and Affiliations

  • Nozer D. Singpurwalla
    • 1
  • Simon P. Wilson
    • 2
  1. 1.Department of Operations ResearchThe George Washington UniversityUSA
  2. 2.Department of StatisticsTrinity CollegeDublin 2Ireland

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