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

### From inside the book

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Page 119

The

or theorem 5 . 5 ; whence the joint -

lemma 5 . 6 and the m . c . s . lower bound is valid by theorem 3 . 5 . In some

cases ...

The

**performance**process of each component is time - associated by lemma 5 . 4or theorem 5 . 5 ; whence the joint -

**performance**process is timeassociated bylemma 5 . 6 and the m . c . s . lower bound is valid by theorem 3 . 5 . In some

cases ...

Page 351

The

the following methods : a ) Selecting algorithms with good worst - case

value of n ...

The

**performance**of rule - based process control programs can be improved bythe following methods : a ) Selecting algorithms with good worst - case

**performance**— e . g . , if it is required to sort n items , then , for a sufficiently highvalue of n ...

Page 481

The basic rationale underlying SLIM is that the likelihood of an error occurring in

a particular situation depends on the combined effects of a relatively small set of

The basic rationale underlying SLIM is that the likelihood of an error occurring in

a particular situation depends on the combined effects of a relatively small set of

**performance**shaping factors ( PSFs ) . In brief , PSFs include both human traits ...### What people are saying - Write a review

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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