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

### From inside the book

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Page 133

For

things are reasonably well known , since there have been many such failures in

the history of technology , and data have been collected . To be sure , the quality

...

For

**example**, the failure rates of small pipes , pumps , electric motors and suchthings are reasonably well known , since there have been many such failures in

the history of technology , and data have been collected . To be sure , the quality

...

Page 352

For

blow - up and an obstacle on the road at the same time ? The remedy is to

increase the CPU performance or to add additional processors . b ) How fast can

a ...

For

**example**, can the car controller handle brake failure , engine burn - out , tireblow - up and an obstacle on the road at the same time ? The remedy is to

increase the CPU performance or to add additional processors . b ) How fast can

a ...

Page 374

For

specified , then Area : = SQRT ( s * ( s — AB ) * ( s — BC ) * ( s — CA ) ) where s =

( AB + BC + CA ) / 2 . ii ) If a side and a perpendicular are specified ( say , AB ...

For

**example**, some of the possibilities are : i ) If the three sides AB , BC , CA arespecified , then Area : = SQRT ( s * ( s — AB ) * ( s — BC ) * ( s — CA ) ) where s =

( AB + BC + CA ) / 2 . ii ) If a side and a perpendicular are specified ( say , AB ...

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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