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

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Page 404

Figure 3

; for our parameters the initial mode is zero. After a couple of errors are found, the

mode shifts to a positive number and the variance begins to reduce, giving ...

Figure 3

**shows**the (Pascal) density obtained at the start of the experiment {t — 0); for our parameters the initial mode is zero. After a couple of errors are found, the

mode shifts to a positive number and the variance begins to reduce, giving ...

Page 425

Figure 5

although the difference due to different priors is less perceptible. For 1 = 4 and 8,

the effect of the priors is barely perceptible, so that fig. 8

Figure 5

**shows**that the predictive density develops an interior mode when 1 = 2,although the difference due to different priors is less perceptible. For 1 = 4 and 8,

the effect of the priors is barely perceptible, so that fig. 8

**shows**just case II ...Page 440

For T from 0 to <M, co is undefined; from tn to about T = 7, it

decay (<w>l), and, from T = 7.5 to about 27.5, there are intervals of negative

values. Even though we know w(T) ->-eo almost surely as T -> oo, realization #1

is still ...

For T from 0 to <M, co is undefined; from tn to about T = 7, it

**shows**reliabilitydecay (<w>l), and, from T = 7.5 to about 27.5, there are intervals of negative

values. Even though we know w(T) ->-eo almost surely as T -> oo, realization #1

is still ...

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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