TY - JOUR
T1 - Network reliability and Borel's paradox
AU - Singpurwalla, Nozer D.
AU - Swift, Andrew
PY - 2001/8
Y1 - 2001/8
N2 - Borel's paradox is a paradox in probability theory with implications in modeling and inference. The paradox arises when we induce probabilities from a high-dimensional, nondiscrete space to its lower dimensional subspace using conditioning arguments that are ill defined. The purpose of this article is to draw attention to the fact that when assessing the reliability of a network there are circumstances under which the paradox comes into play, and to show the consequences of the paradox on the calculated reliability. In particular, we are able to establish the counter-intuitive result that the reliability of a series system of n components, whose life-lengths are independent, converges to a half (and not to zero), as n increases.
AB - Borel's paradox is a paradox in probability theory with implications in modeling and inference. The paradox arises when we induce probabilities from a high-dimensional, nondiscrete space to its lower dimensional subspace using conditioning arguments that are ill defined. The purpose of this article is to draw attention to the fact that when assessing the reliability of a network there are circumstances under which the paradox comes into play, and to show the consequences of the paradox on the calculated reliability. In particular, we are able to establish the counter-intuitive result that the reliability of a series system of n components, whose life-lengths are independent, converges to a half (and not to zero), as n increases.
KW - Expert testimonies
KW - Identical components
KW - Probability protocols
KW - Retrospective conditioning
KW - Unanticipated knowledge
UR - http://www.scopus.com/inward/record.url?scp=0035619216&partnerID=8YFLogxK
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-0035619216&origin=recordpage
U2 - 10.1198/000313001317098202
DO - 10.1198/000313001317098202
M3 - RGC 21 - Publication in refereed journal
SN - 0003-1305
VL - 55
SP - 213
EP - 218
JO - American Statistician
JF - American Statistician
IS - 3
ER -