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

### From inside the book

Results 1-3 of 51

Page 128

There are many

should one start a commercial ... or so is called probabilistic risk assessment ,

and the most visible

There are many

**applications**: should one overhaul systems at regular intervals ,should one start a commercial ... or so is called probabilistic risk assessment ,

and the most visible

**application**has been in the field of nuclear - reactor safety .Page 311

This method can usually be applied to

banking , etc . , where functionality of the software is well ... However , it is usually

difficult to use this approach if the

This method can usually be applied to

**applications**such as accounting , payroll ,banking , etc . , where functionality of the software is well ... However , it is usually

difficult to use this approach if the

**application**is not well understood .Page 490

... J . FEDERMAN : Prediction of human reliability . Part I : Development and test

of a human reliability predictive technique for

maintainability prediction , Applied Psychological Services Inc . , Wayne , Penn . (

1971 ) .

... J . FEDERMAN : Prediction of human reliability . Part I : Development and test

of a human reliability predictive technique for

**application**in electronicmaintainability prediction , Applied Psychological Services Inc . , Wayne , Penn . (

1971 ) .

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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