Some Problems of Optimal Stopping

Abstract

An experimenter can take observations sequentially from a normal distribution with unknown mean. When he stops sampling, he receives a net gain that depends on the values that have been observed and on the cost of sampling. Optimal stopping rules are developed for problems of sampling with and without recall, and for problems involving forced stopping.