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

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Page 124

Even there , though , the true

the same N measurements , producing the same list of

to select the largest and the smallest measurements , ao and x , ignoring all the ...

Even there , though , the true

**value**of A may be 3 . ... Suppose one were to makethe same N measurements , producing the same list of

**values**of x , but this timeto select the largest and the smallest measurements , ao and x , ignoring all the ...

Page 205

10c ) Cov [ Wig u ; ] = in + 1 Note that , by specifying the

Q = 1 - um , | ay = ur - , - u . , Ox + 1 = um i = 2 , . . . , k , for the IFR prior , one

obtains a prior distribution with the expected

to the ...

10c ) Cov [ Wig u ; ] = in + 1 Note that , by specifying the

**values**of Qi as ( 3 . 11 )Q = 1 - um , | ay = ur - , - u . , Ox + 1 = um i = 2 , . . . , k , for the IFR prior , one

obtains a prior distribution with the expected

**value**of the random variable equalto the ...

Page 439

These

successively finer

01 , parabolic interpolation using three neighbcuring

estimate ...

These

**values**were obtained through an interactive numerical search oversuccessively finer

**values**of w ; when the maximizing Ô was obtained to within 0 .01 , parabolic interpolation using three neighbcuring

**values**of w was used toestimate ...

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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