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 present some contributions, in the frame of a Bayesian approach

Ageing and risk aspects in predictive inference based on proportional hazard models / Foschi, Rachele; Spizzichino, Fabio. - In: JOURNAL OF RELIABILITY AND STATISTICAL STUDIES. - ISSN 0974-8024. - STAMPA. - (2012), pp. 63-82.

Ageing and risk aspects in predictive inference based on proportional hazard models

FOSCHI, RACHELE;SPIZZICHINO, Fabio
2012

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 present some contributions, in the frame of a Bayesian approach
2012
Stochastic ordering of posterior distributions; conditional IFR and DFR; majorization
01 Pubblicazione su rivista::01a Articolo in rivista
Ageing and risk aspects in predictive inference based on proportional hazard models / Foschi, Rachele; Spizzichino, Fabio. - In: JOURNAL OF RELIABILITY AND STATISTICAL STUDIES. - ISSN 0974-8024. - STAMPA. - (2012), pp. 63-82.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/514091
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