Abstract
We prove first that a renewal process is stationary if and only if the distributions of the age and the residual waiting time coincide for every t>0, and for 0≦x<t. From there it follows a characterization of memoryless distributions (i.e., either exponential or geometric,) in the case of an ordinary renewal process.
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