eprintid: 1268
rev_number: 9
eprint_status: archive
userid: 6
dir: disk0/00/00/12/68
datestamp: 2012-05-15 10:59:51
lastmod: 2012-05-15 10:59:51
status_changed: 2012-05-15 10:59:51
type: article
metadata_visibility: show
creators_name: Foschi, Rachele
creators_name: Spizzichino, Fabio
creators_id: rachele.foschi@imtlucca.it
creators_id: 
title: Ageing and risk aspects in predictive inference based on proportional Hazard Models
ispublished: pub
subjects: HA
subjects: QA
divisions: EIC
full_text_status: public
keywords: Archimedean copulas, Conditional IFR and DFR, Hazard rate ordering, Likelihood ratio, Majorization, More PQD, Stochastic ordering of posterior distributions, Twoactions
decision problems.
note: Special Issue of JRSS
abstract: 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.
date: 2012
date_type: published
publication: Journal of Reliability and Statistical Studies
volume: 5
publisher: Ankur Printing Palace 
pagerange: 63-82
refereed: TRUE
issn: 0974-8024
official_url: http://jrss.in/data/5S06.pdf
citation:   Foschi, Rachele and Spizzichino, Fabio  Ageing and risk aspects in predictive inference based on proportional Hazard Models.  Journal of Reliability and Statistical Studies, 5.  pp. 63-82.  ISSN 0974-8024      (2012)  
document_url: http://eprints.imtlucca.it/1268/1/Foschi_JRSS_2012.pdf