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

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Page 330

In order to overcome these drawbacks , the model has been extended [ 27 ] as

follows : The input domain is divided into several

division can be based on paths or some other criteria when the number of paths

is too ...

In order to overcome these drawbacks , the model has been extended [ 27 ] as

follows : The input domain is divided into several

**equivalence**classes . Thedivision can be based on paths or some other criteria when the number of paths

is too ...

Page 337

We must have lei , = Igi , Oei = Oeini for 1 < i < ni : Igi , 2 Ogis If the

class Ei does not correspond to a nonterminal , it is said to be a terminal

We must have lei , = Igi , Oei = Oeini for 1 < i < ni : Igi , 2 Ogis If the

**equivalence**class Ei does not correspond to a nonterminal , it is said to be a terminal

**equivalence**class . The**equivalence**class E : : = E1 E2 . . . En is a selector**equivalence**...Page 341

If an

can result in the creation of several

transforming it into a selector

be ...

If an

**equivalence**class , Ei , is not observable , then it must be expanded . Thiscan result in the creation of several

**equivalence**classes at the level of E ,transforming it into a selector

**equivalence**class . ( Thus the number of paths tobe ...

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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