## Proceedings of the International School of Physics "Enrico Fermi". |

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Page 201

In

describe the prior distributions for both the ... In

analysis. 2. - Preliminaries. A total of n test items are observed over a time

interval (0, ...

In

**sect**. 2 we describe our sampling scheme and define notation. In**sect**. 3 wedescribe the prior distributions for both the ... In

**sect**. 4 we discuss the posterioranalysis. 2. - Preliminaries. A total of n test items are observed over a time

interval (0, ...

Page 275

As discussed in

companies are governed both by a desire to modify short-term risk, and also by

an understanding that, over the long run, no single company shall profit from

another ...

As discussed in

**sect**. 3, we believe that mutual exchanges among insurancecompanies are governed both by a desire to modify short-term risk, and also by

an understanding that, over the long run, no single company shall profit from

another ...

Page 382

1) Inspired by a line of reasoning due to Lindley and Phillips [6], we present in

specification of « stopping rules ». These lead us to question the appropriateness

of ...

1) Inspired by a line of reasoning due to Lindley and Phillips [6], we present in

**sect**. 2 some arguments pertaining to the independence of life lengths, and thespecification of « stopping rules ». These lead us to question the appropriateness

of ...

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### Contents

System Eeliabujty | 3 |

Statistical Theory of Eeliablitt | 8 |

Definitions and characterizations | 12 |

Copyright | |

39 other sections not shown

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### Common terms and phrases

algorithm approach associated assume assumption Bayesian boundary points chain coherent system complex conjugate prior consider correctness defined denote detected discussed edited equations equivalence class ergodic errors example exponential distribution failure rate Fault Tree Analysis function gamma given human reliability IEEE Trans IFEA implementation increasing independent input domain integration interval likelihood Markov Markov chain matrix mean method modules monotone month2 N. D. Singpurwalla number of failures number of system NUMITEMS observed obtained operational output parameters phase Poisson Poisson process possible predictive prior distribution probability problem procedure Proschan R. E. Barlow random variables reliability growth models reliability theory renewal theory repair requirements sample sect sequence Software Eng software reliability software reliability models specification Stat statistical stochastic stochastic process subsection system failure system reliability techniques theorem tion tt tt values vector zero