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

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Page xi

FAIEPOREX

General two-company

Interpretations of special cases » 279 8. The desirability of FAIEPOREX » 280 9.

FAIEPOREX

**algorithms**» 276 6*1. General w-company**algorithm**» 276 6'2.General two-company

**algorithm**» 277 6*3. Exponential utility**algorithm**» 277 7.Interpretations of special cases » 279 8. The desirability of FAIEPOREX » 280 9.

Page 277

The statements in parenthesis hold as soon as Y{w is not identically zero.

Observe that these considerations do not depend on any ordering of the constant

fc„ j = 1, 2, n. 6*2. General two-company

simple ...

The statements in parenthesis hold as soon as Y{w is not identically zero.

Observe that these considerations do not depend on any ordering of the constant

fc„ j = 1, 2, n. 6*2. General two-company

**algorithm**. — The search is particularlysimple ...

Page 278

This

]; a copy of the program may be obtained by writing the authors. A numerical

example, computed according to the first

distribution is ...

This

**algorithm**has been implemented in APL for arbitrary p{x) over X e [0, 1, 2, ...]; a copy of the program may be obtained by writing the authors. A numerical

example, computed according to the first

**algorithm**and using a Paretodistribution is ...

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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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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