Abstract
A stopping time for estimating the failure rate of an exponential distribution with a smooth loss function and a gamma prior is constructed using censored data. The optimality of this stopping time is established by using Dynkin's identity for Markov processes. Although the results obtained are asymptotic in one sense, the optimality is exact.
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