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Some stochastic comparison results for frailty and resilience models

09/17/2022

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by Arindam Panja, et al.

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Frailty and resilience models provide a way to introduce random effects in hazard and reversed hazard rate modeling by random variables, called frailty and resilience random variables, respectively, to account for unobserved or unexplained heterogeneity among experimental units. This paper investigates the effects of frailty and resilience random variables on the baseline random variables using some shifted stochastic orders based on some ageing properties of the baseline random variables. Relevant examples are provided to illustrate the results. Some results are illustrated with real-world data.

Arindam Panja
3 publications
Pradip Kundu
3 publications
Biswabrata Pradhan
6 publications

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