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Probabilistic mean value theorems for conditioned random variables with applications
Authors:Antonio Di Crescenzo  Georgios Psarrakos
Abstract:In this paper, we propose a probabilistic analogue of the mean value theorem for conditional nonnegative random variables ordered in the hazard rate and reversed hazard rate order, upon conditioning on intervals of the form (t,) and [0,t]. This result is then specialized within the proportional hazards model and the proportional reversed hazards model with applications to series systems in reliability theory and to absorption random times of linear birth‐death processes. We also study the comparison of residual entropies and discuss some connections to Wasserstein and stop‐loss distances of random variables. A treatment for the additive hazard rate model is finally provided, with an application to life annuities.
Keywords:additive hazard model  equilibrium distribution  hazard rate and reversed hazard rate  mean residual lifetime  residual entropy  stop‐loss distance  Wasserstein distance
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