## Proceedings of the International School of Physics "Enrico Fermi", Volume 94 |

### From inside the book

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Page 75

The next level of the logic

subphases , etc . , until the system environment remains constant and the system

characteristics do not change the fault environment . In this second level of fault ...

The next level of the logic

**tree**divides the operation of the system into phases ,subphases , etc . , until the system environment remains constant and the system

characteristics do not change the fault environment . In this second level of fault ...

Page 76

Of course , for any I , / m ( I ) / = | I . The first task of a fault

a certain minimal family of sets of UU ( - U ) called a prime implicant family . We

are only interested in prime implicant families for fault

Of course , for any I , / m ( I ) / = | I . The first task of a fault

**tree**analysis is to obtaina certain minimal family of sets of UU ( - U ) called a prime implicant family . We

are only interested in prime implicant families for fault

**tree**nodes which we wish ...Page 129

If one does so , and reasonably assigns the branching probabilities at each step ,

one will have drawn an event

in the possible abnormal circumstances that can occur . Further , the initiating ...

If one does so , and reasonably assigns the branching probabilities at each step ,

one will have drawn an event

**tree**for that initiating event . This requires expertisein the possible abnormal circumstances that can occur . Further , the initiating ...

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### Contents

STATISTICAL THEORY OF RELIABLITY | 8 |

Definitions and characterizations | 12 |

J KEILSON Stochastic models in reliability theory | 23 |

Copyright | |

37 other sections not shown

### Common terms and phrases

analysis application approach associated assume assumption BARLOW Bayesian calculation called complex components consider constant continuous correctness Course defined density depends derived described detected determine discussed distribution edited epochs equations equivalence ergodic errors estimate example exists expected exponential fact fail failure rate fault function given Hence important increasing independent input integration interest interval known likelihood limit Markov matrix mean measure method modules normal Note observed obtain occur operational parameters performance phase positive possible posterior predictive prior probability problem procedure prove random variables renewal repair requirements rule sample selected sequence simple software reliability space specification statistical stochastic structure Suppose task theorem theory tion transition tree University values York