  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.
