## Proceedings of the International School of Physics "Enrico Fermi". |

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Page 425

... the

clearly seen. Figure 5 shows that the predictive density develops an interior

mode when 1 = 2, although the difference due to different priors is less

perceptible.

... the

**effect**of the priors on the predictive mean, though not on the shape, can beclearly seen. Figure 5 shows that the predictive density develops an interior

mode when 1 = 2, although the difference due to different priors is less

perceptible.

Page 431

In our view, this model is incomplete because there is no residual failure

co = 0) at t -> oo. Also, this curve « blows up » for t = 0, which makes the

normalizations described below in sect. 5 and 9 somewhat awkward. We would

prefer to ...

In our view, this model is incomplete because there is no residual failure

**effect**(co = 0) at t -> oo. Also, this curve « blows up » for t = 0, which makes the

normalizations described below in sect. 5 and 9 somewhat awkward. We would

prefer to ...

Page 484

For example, if the analysis suggested that training was twice as important as

procedures in terms of its

changes in PSFs on the overall expected likelihood of success can be evaluated.

This is ...

For example, if the analysis suggested that training was twice as important as

procedures in terms of its

**effect**on the ... in which the**effects**of postulatedchanges in PSFs on the overall expected likelihood of success can be evaluated.

This is ...

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### Contents

System Eeliabujty | 3 |

Statistical Theory of Eeliablitt | 8 |

Definitions and characterizations | 12 |

Copyright | |

39 other sections not shown

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### Common terms and phrases

algorithm approach associated assume assumption Bayesian boundary points chain coherent system complex conjugate prior consider correctness defined denote detected discussed edited equations equivalence class ergodic errors example exponential distribution failure rate Fault Tree Analysis function gamma given human reliability IEEE Trans IFEA implementation increasing independent input domain integration interval likelihood Markov Markov chain matrix mean method modules monotone month2 N. D. Singpurwalla number of failures number of system NUMITEMS observed obtained operational output parameters phase Poisson Poisson process possible predictive prior distribution probability problem procedure Proschan R. E. Barlow random variables reliability growth models reliability theory renewal theory repair requirements sample sect sequence Software Eng software reliability software reliability models specification Stat statistical stochastic stochastic process subsection system failure system reliability techniques theorem tion tt tt values vector zero