A bound for higher moments of expected sample size in sequential testing
The problem of sequentially testing two simple hypotheses is considered for i.i.d. observations. We give explicit lower bounds for the kth moments of the expected sample size for a sequential test with error probabilities [alpha] and [beta]. These bounds give the optimal asymptotic rate as [alpha], [beta] --> 0.