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

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Page 26

Fr ( x ) and a random

good as new , and all working times and

0 , the generator has just been

...

Fr ( x ) and a random

**repair**time R with F . ( x ) . After**repair**the generator is asgood as new , and all working times and

**repair**times are independent . At time t =0 , the generator has just been

**repaired**. The elementary events for this process...

Page 31

For the power generator model , the

epochs interleave . Each set of epochs forms a renewal process . Suppose that

both the

For the power generator model , the

**repair**completion epochs and the failureepochs interleave . Each set of epochs forms a renewal process . Suppose that

both the

**repair**times and the failure times are governed by separate failure rate ...Page 87

For what concerns

and assuming it to be monotone are unsatisfactory hypotheses . This claim can

be supported as follows : in the early

of ...

For what concerns

**repair**times , both assuming the hazard rate to be constantand assuming it to be monotone are unsatisfactory hypotheses . This claim can

be supported as follows : in the early

**repair**period , repairman ' s understandingof ...

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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