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

### From inside the book

Results 1-3 of 87

Page 129

over-simplified, and will, for the first time, have

in them. There will always be an initiating event, with some

occurrence, followed by an evaluation of the various possible consequences of

that ...

over-simplified, and will, for the first time, have

**probabilities**of failure embeddedin them. There will always be an initiating event, with some

**probability**ofoccurrence, followed by an evaluation of the various possible consequences of

that ...

Page 135

In the estimation of the

components of the calculation of which one knows very little, succeeded by some

about which one knows a great deal. For example, one may have no idea about ...

In the estimation of the

**probability**of a complex event tree, one will often havecomponents of the calculation of which one knows very little, succeeded by some

about which one knows a great deal. For example, one may have no idea about ...

Page 246

Consider the consequence [d(, Oj] for sure vs. the gamble where C occurs with

the situation. [dt, 0,]s» Pig. 1. - [di, Bj] for sure equivalent to a gamble. If, in the ...

Consider the consequence [d(, Oj] for sure vs. the gamble where C occurs with

**probability**u and c occurs with**probability**1 — u. The diagram of fig. 1 describesthe situation. [dt, 0,]s» Pig. 1. - [di, Bj] for sure equivalent to a gamble. If, in the ...

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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