Abstract: This paper provides a fully sequential procedure for estimating the mean of a one-parameter exponential family of probability distributions with a weighted squared error loss and a fixed cost for each observation. The procedure is shown to be asymptotically optimal to second order among all stopping times, for a general class of estimators of the mean.
Key words and phrases: One-parameter exponential family, regret stopping time, uniformly integrable.