AGEING AND RISK ASPECTS IN PREDICTIVE INFERENCE BASED ON PROPORTIONAL HAZARD MODELS

  • R. Foschi 1IMT Advanced Studies Lucca Economics and Institutional Change Research Area, Italy
  • F. Spizzichino Università degli Studi di Roma La Sapienza Dipartimento di Matematica G. Castelnuovo, Italy
Keywords: Archimedean copulas, Conditional IFR and DFR, Hazard rate ordering, Likelihood ratio, Majorization, More PQD, Stochastic ordering of posterior distributions, Twoactions decision problems

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.

 

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Published
2012-02-14
Section
Articles