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

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Page 250

uncertainty about 0 , we should calculate ( 6 ) 1 , 0 ] - u [ do , 0 ] } ^ ( 0 \ D ) do to

: ) , 0 ] ...

**measures**our utility gain if 0 occurs . Since c ( 0 | D ) now**measures**ouruncertainty about 0 , we should calculate ( 6 ) 1 , 0 ] - u [ do , 0 ] } ^ ( 0 \ D ) do to

**measure**information learned . This will always be nonnegative . Substituting u [ (: ) , 0 ] ...

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The correctness probability

which determine how well the program has been tested . A similar criterion based

on fuzzy - set theory is discussed in sect . 3 . 13 Other metrics . - Let the reliability

...

The correctness probability

**measure**discussed above is an example of criteriawhich determine how well the program has been tested . A similar criterion based

on fuzzy - set theory is discussed in sect . 3 . 13 Other metrics . - Let the reliability

...

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A standard secondary task

practically infeasible endeavour , but also a theoretically wrong one .

approaches also .

A standard secondary task

**measure**of mental workload would be not only apractically infeasible endeavour , but also a theoretically wrong one .

**Measurement**of mental workload has been pursued through two otherapproaches also .

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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