On the dependence between the extreme order statistics in the proportional hazards model
Let X 1 , … , X n be a random sample from an absolutely continuous distribution with non-negative support, and let Y 1 , … , Y n be mutually independent lifetimes with proportional hazard rates. Let also X ( 1 ) < ⋯ < X ( n ) and Y ( 1 ) < ⋯ < Y ( n ) be their associated order statistics...
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Veröffentlicht in: | Journal of multivariate analysis 2008-05, Vol.99 (5), p.777-786 |
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Hauptverfasser: | , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
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Zusammenfassung: | Let
X
1
,
…
,
X
n
be a random sample from an absolutely continuous distribution with non-negative support, and let
Y
1
,
…
,
Y
n
be mutually independent lifetimes with proportional hazard rates. Let also
X
(
1
)
<
⋯
<
X
(
n
)
and
Y
(
1
)
<
⋯
<
Y
(
n
)
be their associated order statistics. It is shown that the pair
(
X
(
1
)
,
X
(
n
)
)
is then more dependent than the pair
(
Y
(
1
)
,
Y
(
n
)
)
, in the sense of the right-tail increasing ordering of Avérous and Dortet-Bernadet [LTD and RTI dependence orderings, Canad. J. Statist. 28 (2000) 151–157]. Elementary consequences of this fact are highlighted. |
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ISSN: | 0047-259X 1095-7243 |
DOI: | 10.1016/j.jmva.2007.03.001 |