TY  - JOUR
EP  - 82
N1  - Special Issue of JRSS
ID  - eprints1268
N2  - Proportional Hazard Models arise from a straightforward generalization of the simple case of conditionally i.i.d., exponentially distributed random variables and, in a sense, can be considered as the idealized models in the statistical analysis of failure and survival data for
lifetimes. For these reasons, they have been extensively studied in the literature. Despite of the richness of related contributions, there are still special aspects of these models that are worthwhile focusing. In this discussion paper we aim to present some contributions, in the frame of a Bayesian approach and by using some very basic notions of stochastic ordering.
SN  - 0974-8024
UR  - http://jrss.in/data/5S06.pdf
TI  - Ageing and risk aspects in predictive inference based on proportional Hazard Models
AV  - public
KW  - Archimedean copulas
KW  -  Conditional IFR and DFR
KW  -  Hazard rate ordering
KW  -  Likelihood ratio
KW  -  Majorization
KW  -  More PQD
KW  -  Stochastic ordering of posterior distributions
KW  -  Twoactions
decision problems.
VL  - 5
SP  - 63
A1  - Foschi, Rachele
A1  - Spizzichino, Fabio
PB  - Ankur Printing Palace 
JF  - Journal of Reliability and Statistical Studies
Y1  - 2012///
ER  -