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

### From inside the book

Results 1-3 of 29

Page 7

WORRELL [ 48 ] implemented sophisticated Boolean methods for analyzing

trees , while WILLIE [ 49 ] developed set theoretic , combinatorial algorithms for

analyzing very large

WORRELL [ 48 ] implemented sophisticated Boolean methods for analyzing

**fault**trees , while WILLIE [ 49 ] developed set theoretic , combinatorial algorithms for

analyzing very large

**fault**trees . The best description of how to construct a**fault**...Page 75

In this second level of

elements from a functional point of view . He uses a structuring process to

develop

detailed ...

In this second level of

**fault**tree development , the analyst examines systemelements from a functional point of view . He uses a structuring process to

develop

**fault**flows within the system that deductively lead to a subsystem anddetailed ...

Page 76

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

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

are only interested in prime implicant families for

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 ...### What people are saying - Write a review

We haven't found any reviews in the usual places.

### 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