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

### From inside the book

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Page 166

The XX Century neo-

following ideas: All probabilities are based on judgement and must satisfy the

laws of probability. Probability is conditional on current information. Probability ...

The XX Century neo-

**Bayesian**paradigm seems to be based pretty much on thefollowing ideas: All probabilities are based on judgement and must satisfy the

laws of probability. Probability is conditional on current information. Probability ...

Page 168

The

probability: probability being expressed in terms of gambles It is pointed out that it

is unrealistic to think of probability as necessarily being defined over a ...

The

**Bayesian**paradigm is first described as an appreciation of the world throughprobability: probability being expressed in terms of gambles It is pointed out that it

is unrealistic to think of probability as necessarily being defined over a ...

Page 422

Other

George [7], a partly

sampling plan for 7 = 1 by Tang et al. [9] and a sequential sampling plan for I = 2

by ...

Other

**Bayesian**models. Apart from an elementary model for I = 2 by Gaskell andGeorge [7], a partly

**Bayesian**approach by Carle and Strtjb [8], a sequentialsampling plan for 7 = 1 by Tang et al. [9] and a sequential sampling plan for I = 2

by ...

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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