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

### From inside the book

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Page 85

This research has been supported by the U . S . Army Research Office , under

Contract DAAG29 - 91 - K - 0160 with the

in whole or in part is permitted for any purpose of the United States Government .

This research has been supported by the U . S . Army Research Office , under

Contract DAAG29 - 91 - K - 0160 with the

**University**of California . Reproductionin whole or in part is permitted for any purpose of the United States Government .

Page 167

D . BASU : Ancillary statistics , pivotal quantities and confidence statements , in

Topics in Applied Statistics , edited by CHANBEY and DIOIVIDI ( Concordia

misconceptions ...

D . BASU : Ancillary statistics , pivotal quantities and confidence statements , in

Topics in Applied Statistics , edited by CHANBEY and DIOIVIDI ( Concordia

**University**Press , Montreal , 29 March 1984 ) . Some deep - rootedmisconceptions ...

Page 449

[ 9 ] [ 7 ] W . S . JEWELL : Stochastically - ordered parameters in Bayesian

prediction , ORC 79 - 12 , Operations Research Center ,

Berkeley ( October 1979 ) . [ 8 ] N . SINGPURWALLA : An adaptive Bayesian

scheme for ...

[ 9 ] [ 7 ] W . S . JEWELL : Stochastically - ordered parameters in Bayesian

prediction , ORC 79 - 12 , Operations Research Center ,

**University**of California ,Berkeley ( October 1979 ) . [ 8 ] N . SINGPURWALLA : An adaptive Bayesian

scheme for ...

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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