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

### From inside the book

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Page 277

Observe that these considerations do not depend on any ordering of the

kj , j = 1 , 2 , . . . , n . 6o2 . General two - company algorithm . - The search is

particularly simple when n = 2 . Then , for cz > 0 , k , if and only if call . If we pick c

...

Observe that these considerations do not depend on any ordering of the

**constant**kj , j = 1 , 2 , . . . , n . 6o2 . General two - company algorithm . - The search is

particularly simple when n = 2 . Then , for cz > 0 , k , if and only if call . If we pick c

...

Page 434

This

corresponds to exponential lifetimes and the stationary Poisson failure process .

It is of interest to see what happens in the corresponding reliability growth ...

This

**constant**age hazard is important in ordinary reliability applications , where itcorresponds to exponential lifetimes and the stationary Poisson failure process .

It is of interest to see what happens in the corresponding reliability growth ...

Page 437

using

operating ) and a generous set of parameters in which a significant decrease in

failure rate occurs after about 15 - 20 failures have occurred in each realization .

using

**constant**hazard rate , an exponential growth function ( assuming model I isoperating ) and a generous set of parameters in which a significant decrease in

failure rate occurs after about 15 - 20 failures have occurred in each realization .

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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