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This article studies an empirical Bayes test in a discrete life model based on random censored data. A monotone empirical Bayes test is constructed and its associated asymptotic optimality is also investigated. It is shown that
is asymptotically optimal, and the regret of
converges to zero at a rate
for some positive values c
1 and c
2, where n is the number of past data available when the present testing problem is considered.
Mathematics Subject Classification:
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