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

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Page 188

The life table and product

a close relative of the failure rate estimate : the « life table estimate of a survival

distribution » , which is dominantly featured in the literature on survival studies .

The life table and product

**limit**estimates . - It is now convenient to introduce herea close relative of the failure rate estimate : the « life table estimate of a survival

distribution » , which is dominantly featured in the literature on survival studies .

Page 190

x < T and sample size N , it is helpful to denote the dependence of Pm on these

choices by writing Pm = 1 - Fronx ( t ) for te [ m , $ m - 1 ) , m = 1 , 2 , . . . , k - 1 .

KAPLAN and MEIER ( 15 ] introduce the now extensively discussed product

...

x < T and sample size N , it is helpful to denote the dependence of Pm on these

choices by writing Pm = 1 - Fronx ( t ) for te [ m , $ m - 1 ) , m = 1 , 2 , . . . , k - 1 .

KAPLAN and MEIER ( 15 ] introduce the now extensively discussed product

**limit**...

Page 367

The lower - level attribute for each ( block ) is NUMITEMS , O NUMITEMS <

e ) Binary trees . Consider the following set of attributes for a binary tree : ( N , L ,

NL , NR , MINI . . . MAXH ) where N = the number of nodes in the tree L = the ...

The lower - level attribute for each ( block ) is NUMITEMS , O NUMITEMS <

**limit**.e ) Binary trees . Consider the following set of attributes for a binary tree : ( N , L ,

NL , NR , MINI . . . MAXH ) where N = the number of nodes in the tree L = the ...

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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