Repairable Systems and Growth Models

  • Martin Newby
Part of the Topics in Safety, Reliability and Quality book series (TSRX, volume 1)


An introduction is given to the Poisson and renewal processes widely used in the study of repairable systems reliability growth, and software reliability. Simple Bayesian treatments of these models are given and it is observed that a full Bayesian treatment requires extensive numerical computations.


Hazard Rate Failure Time Repairable System Posterior Density Software Reliability 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. Ascher, H. & Feingold, H. (1984), Repairable Systems Reliability, Marcel Dekker, New York.zbMATHGoogle Scholar
  2. Balaban, H.S. (1978), Reliability growth models, Journal of Environmental Science, 11–18.Google Scholar
  3. Bunday, B.D., Al-Ayoubi, I.D. & Newby, M.J. (1990), Likelihood and Bayesian Estimation Methods for Poisson Process Models in Software Reliability, International Journal of Quality and Reliability Management, 7(5), 9–18.Google Scholar
  4. Crow, L.H. (1974), Reliability analysis for complex repairable systems. In: F. Proschan and R.J. Serfling (Eds), Reliability and Biometry, 379–410, SIAM Philadelphia.Google Scholar
  5. Duane, J.T. (1964), Learning curve approach to reliability monitoring, IEEE Trans. Aero., 2, 563–566.CrossRefGoogle Scholar
  6. Littlewood, B. & Verrall, J. (1973), A Bayesian reliability growth model for computer software, Applied Statistics, 22, 332–346.MathSciNetCrossRefGoogle Scholar
  7. Ross, S.M. (1970), Applied Probability Models with Optimization Applications, Holden-Day Inc., San Francisco.zbMATHGoogle Scholar
  8. Smith, A.F.M., Skene, A.M., Shaw, J.E.H. & Naylor, J.C. (1987), Progress with numerical and graphical methods for practical Bayesian statistics, The Statistician, 36, 75–83.CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media Dordrecht 1991

Authors and Affiliations

  • Martin Newby
    • 1
  1. 1.Department of Industrial Engineering and Management ScienceUniversity of TechnologyEindhovenThe Netherlands

Personalised recommendations